Pub Date : 2014-05-05DOI: 10.1109/PLANS.2014.6851504
R. Bauernfeind, B. Eissfeller
The road transportation sector is the most dynamic and growing field of GNSS applications, far beyond vehicle navigation. Distance based road user charging systems and location based services generate important revenue streams. GNSS based advanced driver assistance systems increase the traffic efficiency and help to reduce the number of accidents. As GNSS is the primary sensor for position determination, it is important to be aware of performance degradations and have means to mitigate upcoming threats. An recent emerging threat originates from GNSS jammers, so called Personal Privacy Devices (PPDs), which are used either to hide someone's whereabouts in order to protect privacy or for criminal actions like attempting fraud on GNSS based charging systems or to disable GNSS based theft protection systems. In order to give local authorities the means to estimate the extent of the threat, a jammer detector is presented which can be easily deployed and operated at any point of interest. Results from an initial measurement campaign are presented where the detector has been deployed over several weeks at two highway gantries in the area of Munich.
{"title":"Software-defined radio based roadside jammer detector: Architecture and results","authors":"R. Bauernfeind, B. Eissfeller","doi":"10.1109/PLANS.2014.6851504","DOIUrl":"https://doi.org/10.1109/PLANS.2014.6851504","url":null,"abstract":"The road transportation sector is the most dynamic and growing field of GNSS applications, far beyond vehicle navigation. Distance based road user charging systems and location based services generate important revenue streams. GNSS based advanced driver assistance systems increase the traffic efficiency and help to reduce the number of accidents. As GNSS is the primary sensor for position determination, it is important to be aware of performance degradations and have means to mitigate upcoming threats. An recent emerging threat originates from GNSS jammers, so called Personal Privacy Devices (PPDs), which are used either to hide someone's whereabouts in order to protect privacy or for criminal actions like attempting fraud on GNSS based charging systems or to disable GNSS based theft protection systems. In order to give local authorities the means to estimate the extent of the threat, a jammer detector is presented which can be easily deployed and operated at any point of interest. Results from an initial measurement campaign are presented where the detector has been deployed over several weeks at two highway gantries in the area of Munich.","PeriodicalId":371808,"journal":{"name":"2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125887436","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 : 2014-05-05DOI: 10.1109/PLANS.2014.6851495
Zhi Xiong, Hui Peng, Jian-ye Liu, Jie Wang, Yongrong Sun
The IMU's center of mass may be deviated from the vehicle body's center of mass in the high dynamic flight environment of the hypersonic vehicle; this phenomenon may lead to the lever arm effect error if the angular movement exists. If the lever arm effect error cannot be calibrated and compensated during the high dynamic flight process, the lever arm effect error may affect the accuracy of the SINS largely to some extent. The online calibration method for the lever arm effect of the SINS is proposed in this paper. The model of the lever arm effect is built and the length of lever arm is used as the state variable. The observability of the system variables is analyzed and the Kalman Filter is used to calibrate the length of the lever arm. The simulation results show that the designed method can effectively calibrate the length of the lever arm online. The calibration results are used to compensate the navigation system and the results show that accuracy of the compensated navigation system is improved than the uncompensated one.
{"title":"Online calibration research on the lever arm effect for the hypersonic vehicle","authors":"Zhi Xiong, Hui Peng, Jian-ye Liu, Jie Wang, Yongrong Sun","doi":"10.1109/PLANS.2014.6851495","DOIUrl":"https://doi.org/10.1109/PLANS.2014.6851495","url":null,"abstract":"The IMU's center of mass may be deviated from the vehicle body's center of mass in the high dynamic flight environment of the hypersonic vehicle; this phenomenon may lead to the lever arm effect error if the angular movement exists. If the lever arm effect error cannot be calibrated and compensated during the high dynamic flight process, the lever arm effect error may affect the accuracy of the SINS largely to some extent. The online calibration method for the lever arm effect of the SINS is proposed in this paper. The model of the lever arm effect is built and the length of lever arm is used as the state variable. The observability of the system variables is analyzed and the Kalman Filter is used to calibrate the length of the lever arm. The simulation results show that the designed method can effectively calibrate the length of the lever arm online. The calibration results are used to compensate the navigation system and the results show that accuracy of the compensated navigation system is improved than the uncompensated one.","PeriodicalId":371808,"journal":{"name":"2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128015469","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 : 2014-05-05DOI: 10.1109/PLANS.2014.6851365
Y. Hang, Jian-ye Liu, Rong-bing Li, Yongrong Sun, Ting-wan Lei
Micro-electromechanical Systems (MEMS) IMU/ LADAR integrated navigation is a new-type autonomous navigation and environment detection method. It has a broad application prospect in the indoor environment. In MEMS IMU/LADAR integrated navigation system, the MEMS inertial sensors are used to measure vehicle movement. The LADAR is used to detect environmental features, and their outputs are fused by a digital filter, to provide precise position and environment mapping information for small rotorcraft. However, with the increasing amounts of observed landmarks, the computation complexity of traditional Extended Kalman Filter (EKF) increase excessively, making it unable to meet the realtime navigation requirement for small rotorcraft. In addition, the existing LADAR is generally planar scanning radar. When the aircraft's attitudes change, there is no guarantee that detecting plane maintains in a horizontal plane. This makes detecting information couple attitude angle measurement errors, and would bring great errors to the integrated navigation results. According to the problems mentioned above, the paper proposes the LADAR's attitude angle coupling error compensation algorithm. The navigation filter is designed based on Compressed-EKF(CEKF) algorithm. And the experimental prototype is designed for MEMS IMU/LADAR integrated navigation system, to verify CEKF algorithm in indoor environment. The tests show that the proposed algorithm can effectively improve the LADAR's precision and decrease the calculation amount of filtering algorithm. The research has significant reference value for small rotorcraft's simultaneous location and mapping (SLAM) technology in the structured indoor environment.
{"title":"Optimization method of MEMS IMU/LADAR integrated navigation system based on Compressed-EKF","authors":"Y. Hang, Jian-ye Liu, Rong-bing Li, Yongrong Sun, Ting-wan Lei","doi":"10.1109/PLANS.2014.6851365","DOIUrl":"https://doi.org/10.1109/PLANS.2014.6851365","url":null,"abstract":"Micro-electromechanical Systems (MEMS) IMU/ LADAR integrated navigation is a new-type autonomous navigation and environment detection method. It has a broad application prospect in the indoor environment. In MEMS IMU/LADAR integrated navigation system, the MEMS inertial sensors are used to measure vehicle movement. The LADAR is used to detect environmental features, and their outputs are fused by a digital filter, to provide precise position and environment mapping information for small rotorcraft. However, with the increasing amounts of observed landmarks, the computation complexity of traditional Extended Kalman Filter (EKF) increase excessively, making it unable to meet the realtime navigation requirement for small rotorcraft. In addition, the existing LADAR is generally planar scanning radar. When the aircraft's attitudes change, there is no guarantee that detecting plane maintains in a horizontal plane. This makes detecting information couple attitude angle measurement errors, and would bring great errors to the integrated navigation results. According to the problems mentioned above, the paper proposes the LADAR's attitude angle coupling error compensation algorithm. The navigation filter is designed based on Compressed-EKF(CEKF) algorithm. And the experimental prototype is designed for MEMS IMU/LADAR integrated navigation system, to verify CEKF algorithm in indoor environment. The tests show that the proposed algorithm can effectively improve the LADAR's precision and decrease the calculation amount of filtering algorithm. The research has significant reference value for small rotorcraft's simultaneous location and mapping (SLAM) technology in the structured indoor environment.","PeriodicalId":371808,"journal":{"name":"2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130897789","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 : 2014-05-05DOI: 10.1109/PLANS.2014.6851435
S. Yun, W. Lee, Chan Gook Park
This paper proposes the method to calculate a covariance matrix of a batch processing terrain referenced navigation (TRN) for an integrated INS/TRN system using a Kalman filter. The batch processing TRN system cannot automatically provide a covariance matrix of the estimation error. That is why it is important to calculate a covariance matrix for batch processing TRN system. The newly adaptive algorithm based on recursive least square algorithm is proposed. The proposed adaptive algorithm can calculate the covariance of each measurement noise of the batch processing TRN. It also has stable property when the filter operates in a non-stationary environment. It is shown that the batch processing TRN with proposed algorithm has better performance than the TRN with conventional one in the computer simulations.
{"title":"Covariance calculation for batch processing terrain referenced navigation","authors":"S. Yun, W. Lee, Chan Gook Park","doi":"10.1109/PLANS.2014.6851435","DOIUrl":"https://doi.org/10.1109/PLANS.2014.6851435","url":null,"abstract":"This paper proposes the method to calculate a covariance matrix of a batch processing terrain referenced navigation (TRN) for an integrated INS/TRN system using a Kalman filter. The batch processing TRN system cannot automatically provide a covariance matrix of the estimation error. That is why it is important to calculate a covariance matrix for batch processing TRN system. The newly adaptive algorithm based on recursive least square algorithm is proposed. The proposed adaptive algorithm can calculate the covariance of each measurement noise of the batch processing TRN. It also has stable property when the filter operates in a non-stationary environment. It is shown that the batch processing TRN with proposed algorithm has better performance than the TRN with conventional one in the computer simulations.","PeriodicalId":371808,"journal":{"name":"2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129888712","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 : 2014-05-05DOI: 10.1109/PLANS.2014.6851389
V. Kropp, B. Eissfeller, G. Berz
This paper describes and further develops two algorithms which are currently being considered by a bilateral EU-U.S. working group on Advanced Receiver Autonomous Integrity Monitoring (ARAIM) called Working Group C (WG-C); the baseline ARAIM MHSS algorithm and an expansion of this approach termed Q*-MHSS. The availability performance, given either an equal or an optimized allocation of integrity and continuity budgets to all failure modes, is assessed. The paper furthermore proposes an improvement to the protection level calculations by introducing a geometry check to exclude weak geometries and corresponding fault modes leading to excessive protection levels. This is relevant in particular when considering constellation-wide consistent faults under relatively high constellation fault probabilities, such as may be necessary when initially starting ARAIM service with constellations that have a limited service history.
{"title":"Optimized MHSS ARAIM user algorithms: Assumptions, protection level calculation and availability analysis","authors":"V. Kropp, B. Eissfeller, G. Berz","doi":"10.1109/PLANS.2014.6851389","DOIUrl":"https://doi.org/10.1109/PLANS.2014.6851389","url":null,"abstract":"This paper describes and further develops two algorithms which are currently being considered by a bilateral EU-U.S. working group on Advanced Receiver Autonomous Integrity Monitoring (ARAIM) called Working Group C (WG-C); the baseline ARAIM MHSS algorithm and an expansion of this approach termed Q*-MHSS. The availability performance, given either an equal or an optimized allocation of integrity and continuity budgets to all failure modes, is assessed. The paper furthermore proposes an improvement to the protection level calculations by introducing a geometry check to exclude weak geometries and corresponding fault modes leading to excessive protection levels. This is relevant in particular when considering constellation-wide consistent faults under relatively high constellation fault probabilities, such as may be necessary when initially starting ARAIM service with constellations that have a limited service history.","PeriodicalId":371808,"journal":{"name":"2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130196041","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 : 2014-05-05DOI: 10.1109/PLANS.2014.6851373
K. Frank, Estefania Munoz Diaz, P. Robertson, Francisco Javier Fuentes Sanchez
Activity recognition has been a hot topic in research throughout the last years. Walking, standing, sitting or lying have been detected with more or less confidence, in more or less suitable system designs. None of these systems however has entered daily life, neither in mass market, nor in professional environments. What is required is an unobtrusive system, requiring few resources and - most important - recognizing all important activities with high confidence. To this end, our research has focused on the professional market for safety related applications: first responders or also military use. Next to the classical motion related activities, our system supports motions in three dimensions that are necessary for all kinds of movements indoors as well as outdoors. These include falling, wriggling, crawling, climbing stairs up and down and using an elevator. We have proven this approach to run in real-time with only a single wireless sensor attached to the body while achieving robust and reliable recognition with a delay lower than two seconds.
{"title":"Bayesian recognition of safety relevant motion activities with inertial sensors and barometer","authors":"K. Frank, Estefania Munoz Diaz, P. Robertson, Francisco Javier Fuentes Sanchez","doi":"10.1109/PLANS.2014.6851373","DOIUrl":"https://doi.org/10.1109/PLANS.2014.6851373","url":null,"abstract":"Activity recognition has been a hot topic in research throughout the last years. Walking, standing, sitting or lying have been detected with more or less confidence, in more or less suitable system designs. None of these systems however has entered daily life, neither in mass market, nor in professional environments. What is required is an unobtrusive system, requiring few resources and - most important - recognizing all important activities with high confidence. To this end, our research has focused on the professional market for safety related applications: first responders or also military use. Next to the classical motion related activities, our system supports motions in three dimensions that are necessary for all kinds of movements indoors as well as outdoors. These include falling, wriggling, crawling, climbing stairs up and down and using an elevator. We have proven this approach to run in real-time with only a single wireless sensor attached to the body while achieving robust and reliable recognition with a delay lower than two seconds.","PeriodicalId":371808,"journal":{"name":"2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126967530","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 : 2014-05-05DOI: 10.1109/PLANS.2014.6851496
F. O. Silva, E. M. Hemerly, Waldemar C. L. Filho
In this paper, a new approach for the coarse self-alignment of strapdown inertial navigation systems (SINS) is presented. This approach, here called indirect approach, consists on estimating the initial Euler angles of the SINS for a given rotation sequence, directly from the inertial sensors raw readings, to then proceed with the calculation of the corresponding direct cosine matrix (DCM), which represents the SINS initial orientation. It is demonstrated in this paper that the utilization of the proposed approach with rotation sequences 321, or 312, allows the SINS initial orientation to be accurately determined in terms of its DCM, even if the actual position of the SINS on the Earth's surface is unknown. This approach is, therefore, particularly useful in situations where the SINS position is unknown, or for safety reasons, must not be informed.
{"title":"Influence of latitude in coarse self-alignment of strapdown inertial navigation systems","authors":"F. O. Silva, E. M. Hemerly, Waldemar C. L. Filho","doi":"10.1109/PLANS.2014.6851496","DOIUrl":"https://doi.org/10.1109/PLANS.2014.6851496","url":null,"abstract":"In this paper, a new approach for the coarse self-alignment of strapdown inertial navigation systems (SINS) is presented. This approach, here called indirect approach, consists on estimating the initial Euler angles of the SINS for a given rotation sequence, directly from the inertial sensors raw readings, to then proceed with the calculation of the corresponding direct cosine matrix (DCM), which represents the SINS initial orientation. It is demonstrated in this paper that the utilization of the proposed approach with rotation sequences 321, or 312, allows the SINS initial orientation to be accurately determined in terms of its DCM, even if the actual position of the SINS on the Earth's surface is unknown. This approach is, therefore, particularly useful in situations where the SINS position is unknown, or for safety reasons, must not be informed.","PeriodicalId":371808,"journal":{"name":"2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127668689","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 : 2014-05-05DOI: 10.1109/PLANS.2014.6851467
Shifei Liu, M. Atia, Tashfeen B. Karamat, S. Givigi, A. Noureldin
The demand for a reliable and accurate navigation system that can replace Global Positioning System (GPS) in GPS-denied environment has become increasingly imperative. For indoor environment where GPS is almost unavailable or unreliable, the utilization of other sensors such as inertial sensors becomes necessary. However, inertial sensors alone cannot sustain reliable long-term accuracy due to errors accumulation without external periodic corrections. Thus this paper proposes the utilization of Light Detection and Ranging (LiDAR) as an alternative system to provide periodic corrections. In this paper, a tightly-coupled integrated navigation system that integrates LiDAR, a single-axis gyroscope and wheel encoder is introduced. Straight lines detection and extraction algorithm is utilized to estimate the changes in orientation and range from LiDAR to the extracted line. LiDAR-estimated orientation change and range change to the extracted line feature between two consecutive LiDAR scans are first filtered out through a high rate extended Kalman Filter (EKF) to remove the effect of short-term noise associated with LiDAR scans. Then the smoothed orientation and range changes are fused by a low rate EKF with those predicted by gyroscope and wheel encoder. The proposed system is verified through real experiment on a wirelessly controlled Unmanned Ground Vehicle (UGV). Experimental results indicate that navigation accuracy has been improved to sub-meter and gyroscope bias is precisely estimated.
{"title":"A dual-rate multi-filter algorithm for LiDAR-aided indoor navigation systems","authors":"Shifei Liu, M. Atia, Tashfeen B. Karamat, S. Givigi, A. Noureldin","doi":"10.1109/PLANS.2014.6851467","DOIUrl":"https://doi.org/10.1109/PLANS.2014.6851467","url":null,"abstract":"The demand for a reliable and accurate navigation system that can replace Global Positioning System (GPS) in GPS-denied environment has become increasingly imperative. For indoor environment where GPS is almost unavailable or unreliable, the utilization of other sensors such as inertial sensors becomes necessary. However, inertial sensors alone cannot sustain reliable long-term accuracy due to errors accumulation without external periodic corrections. Thus this paper proposes the utilization of Light Detection and Ranging (LiDAR) as an alternative system to provide periodic corrections. In this paper, a tightly-coupled integrated navigation system that integrates LiDAR, a single-axis gyroscope and wheel encoder is introduced. Straight lines detection and extraction algorithm is utilized to estimate the changes in orientation and range from LiDAR to the extracted line. LiDAR-estimated orientation change and range change to the extracted line feature between two consecutive LiDAR scans are first filtered out through a high rate extended Kalman Filter (EKF) to remove the effect of short-term noise associated with LiDAR scans. Then the smoothed orientation and range changes are fused by a low rate EKF with those predicted by gyroscope and wheel encoder. The proposed system is verified through real experiment on a wirelessly controlled Unmanned Ground Vehicle (UGV). Experimental results indicate that navigation accuracy has been improved to sub-meter and gyroscope bias is precisely estimated.","PeriodicalId":371808,"journal":{"name":"2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121112609","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 : 2014-05-05DOI: 10.1109/plans.2014.6851445
Myriam Foucras, Bertrand Ekambi, Fayaz Bacard, O. Julien, C. Macabiau
This article focuses on the bit sign transition and its impact on the acquisition performance in terms of probability of detection. To do so, a theoretical study on the correlation process considering bit sign transition is done leading to the expression of the probability of detection, expressed in function of the bit transition location. Based on this, Monte-Carlo simulations were run to determine the acquisition performance degradations in terms of sensitivity losses and probability of detection for several GNSS civil signals. This allows determining the optimal acquisition parameters when bit sign transitions are considered during the acquisition process.
{"title":"Optimal GNSS acquisition parameters when considering bit transitions","authors":"Myriam Foucras, Bertrand Ekambi, Fayaz Bacard, O. Julien, C. Macabiau","doi":"10.1109/plans.2014.6851445","DOIUrl":"https://doi.org/10.1109/plans.2014.6851445","url":null,"abstract":"This article focuses on the bit sign transition and its impact on the acquisition performance in terms of probability of detection. To do so, a theoretical study on the correlation process considering bit sign transition is done leading to the expression of the probability of detection, expressed in function of the bit transition location. Based on this, Monte-Carlo simulations were run to determine the acquisition performance degradations in terms of sensitivity losses and probability of detection for several GNSS civil signals. This allows determining the optimal acquisition parameters when bit sign transitions are considered during the acquisition process.","PeriodicalId":371808,"journal":{"name":"2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014","volume":"498 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121159180","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 : 2014-05-05DOI: 10.1109/PLANS.2014.6851499
K. Ali, Esteban Garbin Manfredini, F. Dovis
The open nature of the global navigation satellite system (GNSS) civil signals makes them very vulnerable to counterfeit and ill-intended interferences like jamming and spoofing attacks. Spoofing of GNSS signal refers to the transmission of a counterfeit GNSS-like signal, with the goal of deceiving the receiver, making it compute erroneous navigation solutions. In this paper, an evolved version of the signal quality monitoring techniques is presented where a spoofer detection algorithm is discussed. The quality of the correlation function is assessed through the joint use of two metrics which are based on the ratio metric and a pair of extra-correlators in order to detect vestigial signal presence. The results show that the joint use of two provides advantages in the detection of matched-power spoofer attacks.
{"title":"Vestigial signal defense through signal quality monitoring techniques based on joint use of two metrics","authors":"K. Ali, Esteban Garbin Manfredini, F. Dovis","doi":"10.1109/PLANS.2014.6851499","DOIUrl":"https://doi.org/10.1109/PLANS.2014.6851499","url":null,"abstract":"The open nature of the global navigation satellite system (GNSS) civil signals makes them very vulnerable to counterfeit and ill-intended interferences like jamming and spoofing attacks. Spoofing of GNSS signal refers to the transmission of a counterfeit GNSS-like signal, with the goal of deceiving the receiver, making it compute erroneous navigation solutions. In this paper, an evolved version of the signal quality monitoring techniques is presented where a spoofer detection algorithm is discussed. The quality of the correlation function is assessed through the joint use of two metrics which are based on the ratio metric and a pair of extra-correlators in order to detect vestigial signal presence. The results show that the joint use of two provides advantages in the detection of matched-power spoofer attacks.","PeriodicalId":371808,"journal":{"name":"2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121220934","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：