Pub Date : 2012-04-19DOI: 10.1109/AERO.2012.6187449
D. W. Scott, R. W. Nelson
Physical attendance at technical conferences maximizes both the professional and personal benefits of participation, and is often required as a condition of publishing. However, circumstances such as injury, literally being at the South Pole, and/or lack of funding may “get in the way”, to say the least. This paper describes how an inexpensive, remote-site controllable camera was used with the existing laptop-and-projector configuration at IEEE Aeroconference 2011 to establish a workable point-to-point telepresence for presenting papers, attending presentations, participating in panel discussions, and co-chairing a technical session. The discussion includes suggestions for camera, audio, and screen/chart-sharing configurations for these purposes in both point-to-point and multi-point situations, use of telepresence as part of traditional conference room sessions, and possibilities for and challenges of having a “telepresence hall” for presentations and/or professional networking.
{"title":"Low-cost telepresence at technical conferences","authors":"D. W. Scott, R. W. Nelson","doi":"10.1109/AERO.2012.6187449","DOIUrl":"https://doi.org/10.1109/AERO.2012.6187449","url":null,"abstract":"Physical attendance at technical conferences maximizes both the professional and personal benefits of participation, and is often required as a condition of publishing. However, circumstances such as injury, literally being at the South Pole, and/or lack of funding may “get in the way”, to say the least. This paper describes how an inexpensive, remote-site controllable camera was used with the existing laptop-and-projector configuration at IEEE Aeroconference 2011 to establish a workable point-to-point telepresence for presenting papers, attending presentations, participating in panel discussions, and co-chairing a technical session. The discussion includes suggestions for camera, audio, and screen/chart-sharing configurations for these purposes in both point-to-point and multi-point situations, use of telepresence as part of traditional conference room sessions, and possibilities for and challenges of having a “telepresence hall” for presentations and/or professional networking.","PeriodicalId":6421,"journal":{"name":"2012 IEEE Aerospace Conference","volume":"24 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2012-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82243686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-03-03DOI: 10.1109/AERO.2012.6187381
K. Shahzad, I. Manarvi
C-130 aircraft1 is considered to be one of the most reliable military cargo aircraft. Its popularity mainly rests with military users especially with the air forces around the world. It forms the backbone for tactical and transportation operations. It is equipped with four T-56 turboprop engines to keep the transport aircraft in air. During missions the aircraft might get exposed to short runway takeoffs or landings. Engines are being stressed with both a high operation temperature and a severe short take off and landing environment. This lays high demand on its engines' reliability to continuously give outstanding performance under all such conditions with minimum or limited maintenance requirements. In this research, in depth study has been conducted on maintenance and improvement of engines on the basis of defects data collected over five years, and findings have been established from comparative analysis of these results. The results are considered reasonably important for such aircraft operators as well as maintenance crew as they provide a basis to discuss parts that regularly wear out too soon or do not perform as well, and to identify problems and develop new repairs or initiate redesigns of parts. The data may also be used for prediction of maintenance costs and system spares requirements forecasting.
{"title":"Defect trend analysis of T56 engine after overhaul","authors":"K. Shahzad, I. Manarvi","doi":"10.1109/AERO.2012.6187381","DOIUrl":"https://doi.org/10.1109/AERO.2012.6187381","url":null,"abstract":"C-130 aircraft1 is considered to be one of the most reliable military cargo aircraft. Its popularity mainly rests with military users especially with the air forces around the world. It forms the backbone for tactical and transportation operations. It is equipped with four T-56 turboprop engines to keep the transport aircraft in air. During missions the aircraft might get exposed to short runway takeoffs or landings. Engines are being stressed with both a high operation temperature and a severe short take off and landing environment. This lays high demand on its engines' reliability to continuously give outstanding performance under all such conditions with minimum or limited maintenance requirements. In this research, in depth study has been conducted on maintenance and improvement of engines on the basis of defects data collected over five years, and findings have been established from comparative analysis of these results. The results are considered reasonably important for such aircraft operators as well as maintenance crew as they provide a basis to discuss parts that regularly wear out too soon or do not perform as well, and to identify problems and develop new repairs or initiate redesigns of parts. The data may also be used for prediction of maintenance costs and system spares requirements forecasting.","PeriodicalId":6421,"journal":{"name":"2012 IEEE Aerospace Conference","volume":"4 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2012-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73536020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-03-03DOI: 10.1109/AERO.2012.6187386
L. Losik
This paper summarizes the results from the multi-year research program completed at U.C. Berkeley, Space Sciences Laboratory, Center for Extreme Ultra Violet Astrophysics (CEA) in collaboration with engineering personnel from the Advanced Analysis Department at Lockheed Martin Space Systems Company. The research used the NASA EUVE satellite subsystem and payload equipment analog telemetry from the NASA/U.C. Berkeley Extreme Ultra Violet Explorer, low earth orbiting space science satellite and predictive algorithms pioneered on the Air Force's Global Positioning System satellites to measure the EUVE satellite onboard equipment remaining usable life and predict EUVE satellite subsystem equipment failures. The results of the research conducted at the CEA has been repeated by other major aerospace companies and is used widely on several major aircraft programs in the new F-35 Joint Strike Fighter but is not acceptable in the manufacture and test of space vehicles. The research was approved by the Director of the Center of EUV Astrophysics and was to demonstrate that satellite subsystem equipment usable life could be measured accurately and that equipment failures could be predicted using predictive algorithms and satellite subsystem and payload equipment telemetry. The purpose of the research was to demonstrate to NASA GSFC space science personnel that EUVE CEA mission operations team was willing to risk the health of the EUVE satellite to increase the length of the EUVE science mission by using new technologies to lower the cost of the EUVE mission operations. Using PRA as the only tool to calculate equipment reliability, results in the belief that equipment failures cannot be predicted and so cannot be prevented. If the EUVE engineering team could prove the presence of behavior in equipment telemetry that always preceded a surprise failure, then the equipment could be identified and replaced prior to launch stopping the premature failures of NASA, Air Force and commercial satellites and launch vehicles. After the success obtained in the research completed on the NASA EUVE program, the author continued to design space vehicles to provide telemetry for measuring equipment usable life and complete prognostic analysis on NASA spacecraft to identify any on-board equipment that was going to fail prematurely for replacement at space vehicle factories.
{"title":"Results from the prognostic analysis completed on the NASA extreme Ultra Violet Explorer satellite","authors":"L. Losik","doi":"10.1109/AERO.2012.6187386","DOIUrl":"https://doi.org/10.1109/AERO.2012.6187386","url":null,"abstract":"This paper summarizes the results from the multi-year research program completed at U.C. Berkeley, Space Sciences Laboratory, Center for Extreme Ultra Violet Astrophysics (CEA) in collaboration with engineering personnel from the Advanced Analysis Department at Lockheed Martin Space Systems Company. The research used the NASA EUVE satellite subsystem and payload equipment analog telemetry from the NASA/U.C. Berkeley Extreme Ultra Violet Explorer, low earth orbiting space science satellite and predictive algorithms pioneered on the Air Force's Global Positioning System satellites to measure the EUVE satellite onboard equipment remaining usable life and predict EUVE satellite subsystem equipment failures. The results of the research conducted at the CEA has been repeated by other major aerospace companies and is used widely on several major aircraft programs in the new F-35 Joint Strike Fighter but is not acceptable in the manufacture and test of space vehicles. The research was approved by the Director of the Center of EUV Astrophysics and was to demonstrate that satellite subsystem equipment usable life could be measured accurately and that equipment failures could be predicted using predictive algorithms and satellite subsystem and payload equipment telemetry. The purpose of the research was to demonstrate to NASA GSFC space science personnel that EUVE CEA mission operations team was willing to risk the health of the EUVE satellite to increase the length of the EUVE science mission by using new technologies to lower the cost of the EUVE mission operations. Using PRA as the only tool to calculate equipment reliability, results in the belief that equipment failures cannot be predicted and so cannot be prevented. If the EUVE engineering team could prove the presence of behavior in equipment telemetry that always preceded a surprise failure, then the equipment could be identified and replaced prior to launch stopping the premature failures of NASA, Air Force and commercial satellites and launch vehicles. After the success obtained in the research completed on the NASA EUVE program, the author continued to design space vehicles to provide telemetry for measuring equipment usable life and complete prognostic analysis on NASA spacecraft to identify any on-board equipment that was going to fail prematurely for replacement at space vehicle factories.","PeriodicalId":6421,"journal":{"name":"2012 IEEE Aerospace Conference","volume":"133 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2012-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74693280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-03-03DOI: 10.1109/AERO.2012.6187338
M. Glas, S. Sartorius
The conceptual development process is the joint effort of designers and future operators to elicit and analyze requirements and to design a system which plausibly meets these requirements. A continuous build-up of a structured product model that explicitly interrelates system design and its metrics to requirements is desirable. However, requirements and system modeling are usually conducted separately using different tools. Moreover, the phases of the development process are often separated in time, personnel, and space. This practice leaves a considerable number of system design decisions untraceable. We address these problems by two propositions: (1) A use case which describes an iterative, concurrent, and continuous refinement process of the requirements and system model, and (2) a framework that allows the creation of an integrated system and requirements model and the gradual application of increasingly rigorous rules on the model. We demonstrate our approach by a simple conceptual aircraft design example and discuss whether our approach is scalable and promotes the reuse of model parts.
{"title":"Towards a continuous build-up process of a reusable requirements-based system model","authors":"M. Glas, S. Sartorius","doi":"10.1109/AERO.2012.6187338","DOIUrl":"https://doi.org/10.1109/AERO.2012.6187338","url":null,"abstract":"The conceptual development process is the joint effort of designers and future operators to elicit and analyze requirements and to design a system which plausibly meets these requirements. A continuous build-up of a structured product model that explicitly interrelates system design and its metrics to requirements is desirable. However, requirements and system modeling are usually conducted separately using different tools. Moreover, the phases of the development process are often separated in time, personnel, and space. This practice leaves a considerable number of system design decisions untraceable. We address these problems by two propositions: (1) A use case which describes an iterative, concurrent, and continuous refinement process of the requirements and system model, and (2) a framework that allows the creation of an integrated system and requirements model and the gradual application of increasingly rigorous rules on the model. We demonstrate our approach by a simple conceptual aircraft design example and discuss whether our approach is scalable and promotes the reuse of model parts.","PeriodicalId":6421,"journal":{"name":"2012 IEEE Aerospace Conference","volume":"15 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2012-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75500522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-03-03DOI: 10.1109/AERO.2012.6187294
J. Samareh, R. Maddock, R. Winski
The next important step in space exploration is the return of sample materials from extraterrestrial locations to Earth for analysis. Most mission concepts that return sample material to Earth share one common element: an Earth entry vehicle. The analysis and design of entry vehicles is multidisciplinary in nature, requiring the application of mass sizing, flight mechanics, aerodynamics, aerothermodynamics, thermal analysis, structural analysis, and impact analysis tools. Integration of a multidisciplinary problem is a challenging task; the execution process and data transfer among disciplines should be automated and consistent. This paper describes an integrated analysis tool for the design and sizing of an Earth entry vehicle. The current tool includes the following disciplines: mass sizing, flight mechanics, aerodynamics, aerothermodynamics, and impact analysis tools. Python and Java languages are used for integration. Results are presented and compared with the results from previous studies.
{"title":"An integrated tool for system analysis of sample return vehicles","authors":"J. Samareh, R. Maddock, R. Winski","doi":"10.1109/AERO.2012.6187294","DOIUrl":"https://doi.org/10.1109/AERO.2012.6187294","url":null,"abstract":"The next important step in space exploration is the return of sample materials from extraterrestrial locations to Earth for analysis. Most mission concepts that return sample material to Earth share one common element: an Earth entry vehicle. The analysis and design of entry vehicles is multidisciplinary in nature, requiring the application of mass sizing, flight mechanics, aerodynamics, aerothermodynamics, thermal analysis, structural analysis, and impact analysis tools. Integration of a multidisciplinary problem is a challenging task; the execution process and data transfer among disciplines should be automated and consistent. This paper describes an integrated analysis tool for the design and sizing of an Earth entry vehicle. The current tool includes the following disciplines: mass sizing, flight mechanics, aerodynamics, aerothermodynamics, and impact analysis tools. Python and Java languages are used for integration. Results are presented and compared with the results from previous studies.","PeriodicalId":6421,"journal":{"name":"2012 IEEE Aerospace Conference","volume":"10 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2012-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75702460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-03-03DOI: 10.1109/AERO.2012.6187227
A. Fijany, F. Diotalevi
In this paper, we present a novel and fast algorithm for highly parallel implementation of the RANSAC on a many-core MIMD architecture, the Tilera. RANSAC is widely used in image processing applications for homography model estimation. It also represents one of the most computation intensive image processing tasks since it requires evaluation of a large number of models from a given data set. Therefore, increasing the efficiency in its computation by exploiting a massive degree of parallelism is the key enabling factor for many of its applications. Emerging highly parallel architectures such as Tilera provide such an opportunity of exploiting parallelism in many computations. In addition to its low power consumption and excellent GOPs per Watt performance, radiation-hard version of Tilera has also been developed which makes it one of the best candidates for future aerospace applications. In this paper, we first present a novel variant of the RANSAC by incorporating the concept of backtracking. We then present this variant as a cooperative search algorithm with excellent features for highly parallel implementation. In fact, our parallel implementation results in an asynchronous algorithm with a very limited communication requirement. Any processor performs a global broadcasting if and when it finds a partial solution better than previous one. We present our results for an extensive set of data with varying degree of outliers. Our practical results clearly demonstrate that excellent speedup in the computation is achieved by using 57 cores of the Tilera. In fact, for certain cases, our Cooperative Search Algorithms even achieve super-linear speedup, i.e., a speedup greater than 57. We discuss that such a result could have been indeed expected and can be used for other applications.
{"title":"A cooperative search algorithm for highly parallel implementation of RANSAC for model estimation on Tilera MIMD architecture","authors":"A. Fijany, F. Diotalevi","doi":"10.1109/AERO.2012.6187227","DOIUrl":"https://doi.org/10.1109/AERO.2012.6187227","url":null,"abstract":"In this paper, we present a novel and fast algorithm for highly parallel implementation of the RANSAC on a many-core MIMD architecture, the Tilera. RANSAC is widely used in image processing applications for homography model estimation. It also represents one of the most computation intensive image processing tasks since it requires evaluation of a large number of models from a given data set. Therefore, increasing the efficiency in its computation by exploiting a massive degree of parallelism is the key enabling factor for many of its applications. Emerging highly parallel architectures such as Tilera provide such an opportunity of exploiting parallelism in many computations. In addition to its low power consumption and excellent GOPs per Watt performance, radiation-hard version of Tilera has also been developed which makes it one of the best candidates for future aerospace applications. In this paper, we first present a novel variant of the RANSAC by incorporating the concept of backtracking. We then present this variant as a cooperative search algorithm with excellent features for highly parallel implementation. In fact, our parallel implementation results in an asynchronous algorithm with a very limited communication requirement. Any processor performs a global broadcasting if and when it finds a partial solution better than previous one. We present our results for an extensive set of data with varying degree of outliers. Our practical results clearly demonstrate that excellent speedup in the computation is achieved by using 57 cores of the Tilera. In fact, for certain cases, our Cooperative Search Algorithms even achieve super-linear speedup, i.e., a speedup greater than 57. We discuss that such a result could have been indeed expected and can be used for other applications.","PeriodicalId":6421,"journal":{"name":"2012 IEEE Aerospace Conference","volume":"21 7","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2012-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72558152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-03-03DOI: 10.1109/AERO.2012.6187130
M. Donelli, C. Sacchi
In the last years there has been a growing interest in software-defined radio communication systems (SDR). SDR technologies are attractive for communication systems because of their reconfigurable capabilities. Due to the complexity of real scenarios, usually characterized by multipath propagation and heterogeneous interfering sources, the antenna plays a key role. It is demonstrated by literature that the use of reconfigurable antennas (known also as smart antennas) could dramatically improve system performance. In this paper, we propose a compact and low-cost antenna array, based on microchip antennas, which will be integrated with a low-cost GNU-radio SDR testbed. The proposed antenna reconfigures its radiation characteristics, turning on/off the array elements, by means of radio frequency (RF) switches. The antenna is software controlled by means of a suitable optimization technique that maximizes the signal-to-noise ratio (SNR). Test results can prove the capability of the proposed antenna to improve the performance of SDR telecommunication systems in terms of increased SNR and reduced bit error rate.
{"title":"Implementation of a low-cost reconfigurable antenna array for SDR-based communication systems","authors":"M. Donelli, C. Sacchi","doi":"10.1109/AERO.2012.6187130","DOIUrl":"https://doi.org/10.1109/AERO.2012.6187130","url":null,"abstract":"In the last years there has been a growing interest in software-defined radio communication systems (SDR). SDR technologies are attractive for communication systems because of their reconfigurable capabilities. Due to the complexity of real scenarios, usually characterized by multipath propagation and heterogeneous interfering sources, the antenna plays a key role. It is demonstrated by literature that the use of reconfigurable antennas (known also as smart antennas) could dramatically improve system performance. In this paper, we propose a compact and low-cost antenna array, based on microchip antennas, which will be integrated with a low-cost GNU-radio SDR testbed. The proposed antenna reconfigures its radiation characteristics, turning on/off the array elements, by means of radio frequency (RF) switches. The antenna is software controlled by means of a suitable optimization technique that maximizes the signal-to-noise ratio (SNR). Test results can prove the capability of the proposed antenna to improve the performance of SDR telecommunication systems in terms of increased SNR and reduced bit error rate.","PeriodicalId":6421,"journal":{"name":"2012 IEEE Aerospace Conference","volume":"28 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2012-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76139800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-03-03DOI: 10.1109/AERO.2012.6187379
M. H. Siddiqui, A. Iqbal, I. Manarvi
Maintenance Resource Management is a general process for improving communication, effectiveness and safety in aircraft maintenance operations. The main aim of MRM is to reduce the human factor occurrences in aviation maintenance that lead to irrepairable losses to men, machine and morale. This research paper will cover the different aspects of human factors and how MRM training can reduce the human error coefficient from an aviation maintenance setup. Moreover, the study will also focus on the MRM aspect and its proposed outcomes on the aviation industry of Pakistan.
{"title":"Maintenance Resource Management: A key process initiative to reduce human factors in aviation maintenance","authors":"M. H. Siddiqui, A. Iqbal, I. Manarvi","doi":"10.1109/AERO.2012.6187379","DOIUrl":"https://doi.org/10.1109/AERO.2012.6187379","url":null,"abstract":"Maintenance Resource Management is a general process for improving communication, effectiveness and safety in aircraft maintenance operations. The main aim of MRM is to reduce the human factor occurrences in aviation maintenance that lead to irrepairable losses to men, machine and morale. This research paper will cover the different aspects of human factors and how MRM training can reduce the human error coefficient from an aviation maintenance setup. Moreover, the study will also focus on the MRM aspect and its proposed outcomes on the aviation industry of Pakistan.","PeriodicalId":6421,"journal":{"name":"2012 IEEE Aerospace Conference","volume":"250 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2012-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75094869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-03-03DOI: 10.1109/AERO.2012.6187208
J. D. Glass, A. Lanterman
Target tracking in a widely spread multiple input multiple output (MIMO) radar system requires joint processing of several measurements from multiple sensors. The probability hypothesis density (PHD) filter provides a promising framework to process these measurements, since it does not require any measurement-to-track associations. Furthermore, the PHD filter naturally handles a multi-target environment because of the lack of explicit data association. We implement a PHD filter in the GTRI/ONR MIMO Benchmark, and compare results against the Benchmark's default solution. We assume a linear Gaussian target model so that the posterior target intensity at any time step is a Gaussian mixture (GM). Under this assumption, the PHD filter has closed-form recursions and target state extraction is simplified. This paper focuses on our implementation of the GM-PHD filter in the MIMO Benchmark, along with practical issues such as track labeling and applying the filter for the case of multiple sensors.
{"title":"MIMO radar target tracking using the probability hypothesis density filter","authors":"J. D. Glass, A. Lanterman","doi":"10.1109/AERO.2012.6187208","DOIUrl":"https://doi.org/10.1109/AERO.2012.6187208","url":null,"abstract":"Target tracking in a widely spread multiple input multiple output (MIMO) radar system requires joint processing of several measurements from multiple sensors. The probability hypothesis density (PHD) filter provides a promising framework to process these measurements, since it does not require any measurement-to-track associations. Furthermore, the PHD filter naturally handles a multi-target environment because of the lack of explicit data association. We implement a PHD filter in the GTRI/ONR MIMO Benchmark, and compare results against the Benchmark's default solution. We assume a linear Gaussian target model so that the posterior target intensity at any time step is a Gaussian mixture (GM). Under this assumption, the PHD filter has closed-form recursions and target state extraction is simplified. This paper focuses on our implementation of the GM-PHD filter in the MIMO Benchmark, along with practical issues such as track labeling and applying the filter for the case of multiple sensors.","PeriodicalId":6421,"journal":{"name":"2012 IEEE Aerospace Conference","volume":"38 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2012-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80078704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-03-03DOI: 10.1109/AERO.2012.6187090
D. Jones, K. Wagstaff, D. Thompson, L. D'Addario, R. Navarro, C. Mattmann, W. Majid, J. Lazio, R. Preston, U. Rebbapragada
Future large radio astronomy arrays, particularly the Square Kilometre Array (SKA), will be able to generate data at rates far higher than can be analyzed or stored affordably with current practices. This is, by definition, a "big data" problem, and requires an end-to-end solution if future radio arrays are to reach their full scientific potential. Similar data processing, transport, storage, and management challenges face next-generation facilities in many other fields. The Jet Propulsion Laboratory is developing technologies to address big data issues, with an emphasis in three areas: 1) Lower-power digital processing architectures to make highvolume data generation operationally affordable, 2) Date-adaptive machine learning algorithms for real-time analysis (or "data triage") of large data volumes, and 3) Scalable data archive systems that allow efficient data mining and remote user code to run locally where the data are stored.
{"title":"Big data challenges for large radio arrays","authors":"D. Jones, K. Wagstaff, D. Thompson, L. D'Addario, R. Navarro, C. Mattmann, W. Majid, J. Lazio, R. Preston, U. Rebbapragada","doi":"10.1109/AERO.2012.6187090","DOIUrl":"https://doi.org/10.1109/AERO.2012.6187090","url":null,"abstract":"Future large radio astronomy arrays, particularly the Square Kilometre Array (SKA), will be able to generate data at rates far higher than can be analyzed or stored affordably with current practices. This is, by definition, a \"big data\" problem, and requires an end-to-end solution if future radio arrays are to reach their full scientific potential. Similar data processing, transport, storage, and management challenges face next-generation facilities in many other fields. The Jet Propulsion Laboratory is developing technologies to address big data issues, with an emphasis in three areas: 1) Lower-power digital processing architectures to make highvolume data generation operationally affordable, 2) Date-adaptive machine learning algorithms for real-time analysis (or \"data triage\") of large data volumes, and 3) Scalable data archive systems that allow efficient data mining and remote user code to run locally where the data are stored.","PeriodicalId":6421,"journal":{"name":"2012 IEEE Aerospace Conference","volume":"150 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2012-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78997632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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