Pub Date : 2002-07-08DOI: 10.1109/ICIF.2002.1020938
D. Musicki, R. Evans
This paper presents a new algorithm for multi-target tracking. In multi-target situations, multiple tracks may share the same measurement(s). Joint events are formed by creating all possible combinations of track-measurement assignments. The probabilities for these joint events are calculated The expressions for the joint events incorporate the probabilities of track existence of individual tracks, as well as an efficient approximation for the cluster volume and an a-priori probability of the number of clutter measurements in each cluster. From these probabilities the data association and track existence probabilities of individual tracks are obtained These probabilities will allow track update in the classic PDA fashion, as well as automatic track initiation, maintenance and termination. The JIPDA algorithm is recursive and integrates seamlessly with the IPDA algorithm. Simulations are used to verify the performance of the algorithm and compare it with the per performance of the IPDA, IPDA-DLL and IJPDA algorithms in a dense and non-homogenous clutter environment, in crossing target situations.
{"title":"Joint Integrated Probabilistic Data Association - JIPDA","authors":"D. Musicki, R. Evans","doi":"10.1109/ICIF.2002.1020938","DOIUrl":"https://doi.org/10.1109/ICIF.2002.1020938","url":null,"abstract":"This paper presents a new algorithm for multi-target tracking. In multi-target situations, multiple tracks may share the same measurement(s). Joint events are formed by creating all possible combinations of track-measurement assignments. The probabilities for these joint events are calculated The expressions for the joint events incorporate the probabilities of track existence of individual tracks, as well as an efficient approximation for the cluster volume and an a-priori probability of the number of clutter measurements in each cluster. From these probabilities the data association and track existence probabilities of individual tracks are obtained These probabilities will allow track update in the classic PDA fashion, as well as automatic track initiation, maintenance and termination. The JIPDA algorithm is recursive and integrates seamlessly with the IPDA algorithm. Simulations are used to verify the performance of the algorithm and compare it with the per performance of the IPDA, IPDA-DLL and IJPDA algorithms in a dense and non-homogenous clutter environment, in crossing target situations.","PeriodicalId":399150,"journal":{"name":"Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127147921","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 : 2002-07-08DOI: 10.1109/ICIF.2002.1020993
Marc Shichman, M. Gaffney, E. Fake, L. Sokol
Veridian created a prototype of a foreign language audio information management system that integrates speech recognition technology, machine translation and advanced information retrieval and extraction for Mandarin Chinese. The system automatically processes audio recordings to create a data warehouse of derived information using speech recognition and machine translation technology components. The data warehouse can then be further exploited using information retrieval technology components. The prototype system provides the following capabilities: Automatically transforming foreign audio files into electronic text; Transforming foreign text into English text; Matching transcribed and translated text and the topics of interest to the analyst; Displaying transcribed text by speaker. The conclusions imply that while automatic speech processing technology is far from perfect for mass market distribution, it is sufficiently advanced to help with the overload of audio and video data.
{"title":"Foreign language audio information management system","authors":"Marc Shichman, M. Gaffney, E. Fake, L. Sokol","doi":"10.1109/ICIF.2002.1020993","DOIUrl":"https://doi.org/10.1109/ICIF.2002.1020993","url":null,"abstract":"Veridian created a prototype of a foreign language audio information management system that integrates speech recognition technology, machine translation and advanced information retrieval and extraction for Mandarin Chinese. The system automatically processes audio recordings to create a data warehouse of derived information using speech recognition and machine translation technology components. The data warehouse can then be further exploited using information retrieval technology components. The prototype system provides the following capabilities: Automatically transforming foreign audio files into electronic text; Transforming foreign text into English text; Matching transcribed and translated text and the topics of interest to the analyst; Displaying transcribed text by speaker. The conclusions imply that while automatic speech processing technology is far from perfect for mass market distribution, it is sufficiently advanced to help with the overload of audio and video data.","PeriodicalId":399150,"journal":{"name":"Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125894170","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 : 2002-07-08DOI: 10.1109/ICIF.2002.1021187
J. Besada, J. de Diego, G. de Miguel, J. Casar, J. García
This paper describes a generic software platform which can be used for simulation, prototyping and implementation of real time data fusion systems and for training of data fusion engineers. This platform is based on the definition of a set of asynchronous "data processing nodes" cooperating by interchange "lists of data". Those data processing nodes and the data they process are generic, being the data fusion engineer the responsible for implementing the actual data fusion algorithms and defining the interest pieces of data to be interchanged. This architecture has been successfully used for several real projects, such as a simulator of multiradar multitarget tracking systems, the optimization of monoradar filters, an image based tracking system, and a generic real time data fusion system for Airport surface surveillance. In the paper both the overall architecture and some of these examples are described.
{"title":"Generic software architecture for development of data fusion systems","authors":"J. Besada, J. de Diego, G. de Miguel, J. Casar, J. García","doi":"10.1109/ICIF.2002.1021187","DOIUrl":"https://doi.org/10.1109/ICIF.2002.1021187","url":null,"abstract":"This paper describes a generic software platform which can be used for simulation, prototyping and implementation of real time data fusion systems and for training of data fusion engineers. This platform is based on the definition of a set of asynchronous \"data processing nodes\" cooperating by interchange \"lists of data\". Those data processing nodes and the data they process are generic, being the data fusion engineer the responsible for implementing the actual data fusion algorithms and defining the interest pieces of data to be interchanged. This architecture has been successfully used for several real projects, such as a simulator of multiradar multitarget tracking systems, the optimization of monoradar filters, an image based tracking system, and a generic real time data fusion system for Airport surface surveillance. In the paper both the overall architecture and some of these examples are described.","PeriodicalId":399150,"journal":{"name":"Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129500172","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 : 2002-07-08DOI: 10.1109/ICIF.2002.1020974
Jae Woo Joo, Jeung Won Choi, D. Cho
It's difficult to interpret much of the battlefield information collected by various and different types of sensors promptly and correctly. Therefore, multisensor data fusion has become increasingly important in order to integrate individual sensor data and obtain a picture of the battlefield. In this paper GTIFS (Ground Target Identification Fusion System), a near real-time demonstrator of a multisensory system, is designed and implemented. GTIFS correlates and fuses position/identity information from MTI, ELINT and SAR simulators. GTIFS has three positional fusion techniques such as NN (nearest neighbor) tracker, PDA (probabilistic data association) tracker and GNN (geographic NN) tracker and three identity fusion techniques such as Bayesian, Dempster-Shafer and weighted voting. This system also has performance evaluation capabilities. The evaluation result is satisfied.
{"title":"Ground target identification fusion system","authors":"Jae Woo Joo, Jeung Won Choi, D. Cho","doi":"10.1109/ICIF.2002.1020974","DOIUrl":"https://doi.org/10.1109/ICIF.2002.1020974","url":null,"abstract":"It's difficult to interpret much of the battlefield information collected by various and different types of sensors promptly and correctly. Therefore, multisensor data fusion has become increasingly important in order to integrate individual sensor data and obtain a picture of the battlefield. In this paper GTIFS (Ground Target Identification Fusion System), a near real-time demonstrator of a multisensory system, is designed and implemented. GTIFS correlates and fuses position/identity information from MTI, ELINT and SAR simulators. GTIFS has three positional fusion techniques such as NN (nearest neighbor) tracker, PDA (probabilistic data association) tracker and GNN (geographic NN) tracker and three identity fusion techniques such as Bayesian, Dempster-Shafer and weighted voting. This system also has performance evaluation capabilities. The evaluation result is satisfied.","PeriodicalId":399150,"journal":{"name":"Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130681171","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 : 2002-07-08DOI: 10.1109/ICIF.2002.1020930
R. Kannan, S. Sarangi, S. Iyengar
We consider the problem of inducing the formation of reliable energy-constrained communication paths in distributed sensor networks. We label this problem of reliable information routing from reporting sensors to query nodes as reliable query reporting (RQR) and analyze it using game-theoretic techniques to model the behavior of individual sensor nodes. Sensors behave strategically wherein they take into account individual costs and benefits as well as the actions of other sensors in the network. The RQR problem is shown to be NP-hard. The optimal RQR path as defined forms an upper bound on reliable paths obtained using existing ad-hoc routing rules which are easy to implement but do not provide analytical performance bounds. We then present analytical results to identify conditions under which the optimally reliable path is congruent to well known paths such as the most reliable or cheapest path.
{"title":"A simple model for reliable query reporting in sensor networks","authors":"R. Kannan, S. Sarangi, S. Iyengar","doi":"10.1109/ICIF.2002.1020930","DOIUrl":"https://doi.org/10.1109/ICIF.2002.1020930","url":null,"abstract":"We consider the problem of inducing the formation of reliable energy-constrained communication paths in distributed sensor networks. We label this problem of reliable information routing from reporting sensors to query nodes as reliable query reporting (RQR) and analyze it using game-theoretic techniques to model the behavior of individual sensor nodes. Sensors behave strategically wherein they take into account individual costs and benefits as well as the actions of other sensors in the network. The RQR problem is shown to be NP-hard. The optimal RQR path as defined forms an upper bound on reliable paths obtained using existing ad-hoc routing rules which are easy to implement but do not provide analytical performance bounds. We then present analytical results to identify conditions under which the optimally reliable path is congruent to well known paths such as the most reliable or cheapest path.","PeriodicalId":399150,"journal":{"name":"Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123217024","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 : 2002-07-08DOI: 10.1109/ICIF.2002.1021223
Y. Boers, H. Driessen
In this paper a novel method to deal with possibly erroneous measurements is presented. In target tracking applications it may be the case that measurements that are obtained are incorrect in the sense that they do not comply with the measurement model. Examples in (radar) target tracking are: Glint, Multipath, Ambiguous Doppler, etc. The method that we present here is able to detect these non-normalities and modifies the measurement model in such a way that these non-normalities do not blur the track filter output. The method is based on a multi hypothesis assumption w.r.t. to the correctness of the measurement model. This new method is also shown to outperform classical methods for dealing with possibly erroneous measurements. We demonstrate our method by an extensive example of a surveillance radar tracking system with unreliable (or sometimes false) Doppler measurements.
{"title":"A multiple model multiple hypothesis filter for systems with possibly erroneous measurements","authors":"Y. Boers, H. Driessen","doi":"10.1109/ICIF.2002.1021223","DOIUrl":"https://doi.org/10.1109/ICIF.2002.1021223","url":null,"abstract":"In this paper a novel method to deal with possibly erroneous measurements is presented. In target tracking applications it may be the case that measurements that are obtained are incorrect in the sense that they do not comply with the measurement model. Examples in (radar) target tracking are: Glint, Multipath, Ambiguous Doppler, etc. The method that we present here is able to detect these non-normalities and modifies the measurement model in such a way that these non-normalities do not blur the track filter output. The method is based on a multi hypothesis assumption w.r.t. to the correctness of the measurement model. This new method is also shown to outperform classical methods for dealing with possibly erroneous measurements. We demonstrate our method by an extensive example of a surveillance radar tracking system with unreliable (or sometimes false) Doppler measurements.","PeriodicalId":399150,"journal":{"name":"Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123471749","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 : 2002-07-08DOI: 10.1109/ICIF.2002.1021000
P. J. Escamilla-Ambrosio, N. Mort
In this work a novel multi-sensor data fusion (MSDF) architecture is presented. First, each measurement-vector coming from each sensor is fed to a fuzzy logic-based adaptive Kalman filter (FL-AKF); thus there are N sensors and N FL-AKFs working in parallel. The adaptation in each FL-AKF is, in the sense of dynamically tuning the measurement noise covariance matrix R, employing a fuzzy inference system (FIS) based on a covariance matching technique. A second FIS, called a fuzzy logic assessor (FLA), monitors and assesses the performance of each FL-AKF. The FLA assigns a degree of confidence, a number on the interval [0, 1], to each of the FL-AKF outputs. Finally, a defuzzification scheme obtains the fused state-vector estimate based on confidence values. The effectiveness and accuracy of this approach is demonstrated using a simulated example. Two defuzzification methods are explored and compared, and results show good performance of the proposed approach.
{"title":"Multi-sensor data fusion architecture based on adaptive Kalman filters and fuzzy logic performance assessment","authors":"P. J. Escamilla-Ambrosio, N. Mort","doi":"10.1109/ICIF.2002.1021000","DOIUrl":"https://doi.org/10.1109/ICIF.2002.1021000","url":null,"abstract":"In this work a novel multi-sensor data fusion (MSDF) architecture is presented. First, each measurement-vector coming from each sensor is fed to a fuzzy logic-based adaptive Kalman filter (FL-AKF); thus there are N sensors and N FL-AKFs working in parallel. The adaptation in each FL-AKF is, in the sense of dynamically tuning the measurement noise covariance matrix R, employing a fuzzy inference system (FIS) based on a covariance matching technique. A second FIS, called a fuzzy logic assessor (FLA), monitors and assesses the performance of each FL-AKF. The FLA assigns a degree of confidence, a number on the interval [0, 1], to each of the FL-AKF outputs. Finally, a defuzzification scheme obtains the fused state-vector estimate based on confidence values. The effectiveness and accuracy of this approach is demonstrated using a simulated example. Two defuzzification methods are explored and compared, and results show good performance of the proposed approach.","PeriodicalId":399150,"journal":{"name":"Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121399482","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 : 2002-07-08DOI: 10.1109/ICIF.2002.1021186
A. Eid, S. Rashad, A. Farag
A number of approaches have been proposed in the literature for reconstruction of 3-D objects from sequence of images. Yet, very few studies have been reported on the quantification/validation of the accuracy of these reconstructions. In addition, no design has been reported for a generic vision platform that can allow various modality imaging. The purpose of this paper is two folds: 1) propose a vision platform that lend itself for acquisition of calibrated sequence of images, and concurrently obtain a direct 3-D reconstruction by laser scanning; and 2) develop and implement different approaches for 3-D reconstructions from sequence of images. 3-D reconstructions will be evaluated against the 3-D scanning generated from a laser scanner. Validation of the reconstructions is made by pairwise comparison with the 3-D scanning results. Preliminary studies with the proposed vision platform show a good promise for its use in the validation of various 3-D reconstructions, registration and data fusion.
{"title":"A general-purpose platform for 3-D reconstruction from sequence of images","authors":"A. Eid, S. Rashad, A. Farag","doi":"10.1109/ICIF.2002.1021186","DOIUrl":"https://doi.org/10.1109/ICIF.2002.1021186","url":null,"abstract":"A number of approaches have been proposed in the literature for reconstruction of 3-D objects from sequence of images. Yet, very few studies have been reported on the quantification/validation of the accuracy of these reconstructions. In addition, no design has been reported for a generic vision platform that can allow various modality imaging. The purpose of this paper is two folds: 1) propose a vision platform that lend itself for acquisition of calibrated sequence of images, and concurrently obtain a direct 3-D reconstruction by laser scanning; and 2) develop and implement different approaches for 3-D reconstructions from sequence of images. 3-D reconstructions will be evaluated against the 3-D scanning generated from a laser scanner. Validation of the reconstructions is made by pairwise comparison with the 3-D scanning results. Preliminary studies with the proposed vision platform show a good promise for its use in the validation of various 3-D reconstructions, registration and data fusion.","PeriodicalId":399150,"journal":{"name":"Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114617971","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 : 2002-07-08DOI: 10.1109/ICIF.2002.1021157
F. Dambreville, J. Le Cadre
This paper deals with the tactical planning of the search efforts for a moving target. It refers deeply to the work of Brown-Washburn, related to the multi-step search of a Markovian target. However, this meaningful work is not optimally applicable to tactical situations, where the target may move accordingly to the observations of the possible searcher indiscretions (e.g. active modes). On the one hand, the probabilistic Markovian model is too restrictive for describing such target motion. In this paper, a more suitable modeling of the target move is presented (semi-Markovian model). On the other hand, it is necessary to involve the informational context into the planning. These two paradoxical aspects make the issue uneasy. We introduce a model for handling the context notions into the optimization setting, and apply it to a general search example with multiple modes management.
{"title":"Search game for a moving target with dynamically generated informations","authors":"F. Dambreville, J. Le Cadre","doi":"10.1109/ICIF.2002.1021157","DOIUrl":"https://doi.org/10.1109/ICIF.2002.1021157","url":null,"abstract":"This paper deals with the tactical planning of the search efforts for a moving target. It refers deeply to the work of Brown-Washburn, related to the multi-step search of a Markovian target. However, this meaningful work is not optimally applicable to tactical situations, where the target may move accordingly to the observations of the possible searcher indiscretions (e.g. active modes). On the one hand, the probabilistic Markovian model is too restrictive for describing such target motion. In this paper, a more suitable modeling of the target move is presented (semi-Markovian model). On the other hand, it is necessary to involve the informational context into the planning. These two paradoxical aspects make the issue uneasy. We introduce a model for handling the context notions into the optimization setting, and apply it to a general search example with multiple modes management.","PeriodicalId":399150,"journal":{"name":"Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116486676","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 : 2002-07-08DOI: 10.1109/ICIF.2002.1021156
Q. Lam, C. Woodruff, S. Ashton, D. Martin
This paper presents the design, development, and validation of a nonlinear least square estimation scheme applied to star tracker noise extraction and identification. The paper is the by-product of a Post-Launch Test (PLT) tool development effort conducted by two independent teams, Swales/NASA and Boeing. The main objective is to have a set of tools ready to provide on-orbit support to the GOES N-Q Program. GOES N-Q employs a stellar inertial attitude determination (SIAD) system that achieves high precision attitude estimation by processing attitude and rate data provided by multiple star trackers (ST) and an inertial reference unit (IRU), respectively. The key component of SIAD is the ST. The ST's star position vector is corrupted by three major noise sources: temporal noise (TN), high spatial frequency noise (HSF), and low spatial frequency (LSF) noise. The last two noise sources are not while and correlated. As a result, the performance of the SIAD filter is no longer optimal, causing the reconstructed attitude knowledge to potentially satisfy requirements with a narrow margin. This tight margin is critical and may affect the GOES N-Q mission, particularly the Image Navigation and Registration (INR) system performance. The PLT toolset is expected to provide the capability to mitigate this potential problem during PLT time.
{"title":"Noise estimation for star tracker calibration and enhanced precision attitude determination","authors":"Q. Lam, C. Woodruff, S. Ashton, D. Martin","doi":"10.1109/ICIF.2002.1021156","DOIUrl":"https://doi.org/10.1109/ICIF.2002.1021156","url":null,"abstract":"This paper presents the design, development, and validation of a nonlinear least square estimation scheme applied to star tracker noise extraction and identification. The paper is the by-product of a Post-Launch Test (PLT) tool development effort conducted by two independent teams, Swales/NASA and Boeing. The main objective is to have a set of tools ready to provide on-orbit support to the GOES N-Q Program. GOES N-Q employs a stellar inertial attitude determination (SIAD) system that achieves high precision attitude estimation by processing attitude and rate data provided by multiple star trackers (ST) and an inertial reference unit (IRU), respectively. The key component of SIAD is the ST. The ST's star position vector is corrupted by three major noise sources: temporal noise (TN), high spatial frequency noise (HSF), and low spatial frequency (LSF) noise. The last two noise sources are not while and correlated. As a result, the performance of the SIAD filter is no longer optimal, causing the reconstructed attitude knowledge to potentially satisfy requirements with a narrow margin. This tight margin is critical and may affect the GOES N-Q mission, particularly the Image Navigation and Registration (INR) system performance. The PLT toolset is expected to provide the capability to mitigate this potential problem during PLT time.","PeriodicalId":399150,"journal":{"name":"Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114720813","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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