Passive Sonar Multiple-Target Tracking with Nonlinear Doppler and Bearing Measurements Using Multiple Sensors
The major advantage of the passive multiple-target tracking is that the sonars do not emit signals and thus they can remain covert, which will reduce the risk of being attacked. However, the nonlinearity of the passive Doppler and bearing measurements, the range unobservability problem, and the meas...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/4163766 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832545978870136832 |
|---|---|
| author | Xiaohua Li Bo Lu Wasiq Ali Jun Su Haiyan Jin |
| author_facet | Xiaohua Li Bo Lu Wasiq Ali Jun Su Haiyan Jin |
| author_sort | Xiaohua Li |
| collection | DOAJ |
| description | The major advantage of the passive multiple-target tracking is that the sonars do not emit signals and thus they can remain covert, which will reduce the risk of being attacked. However, the nonlinearity of the passive Doppler and bearing measurements, the range unobservability problem, and the measurement to target data association uncertainty make the passive multiple-target tracking problem challenging. To deal with the target to measurement data association uncertainty problem from multiple sensors, this paper proposed a batch recursive extended Rauch-Tung-Striebel smoother- (RTSS-) based probabilistic multiple hypothesis tracker (PMHT) algorithm, which can effectively handle a large number of passive measurements including clutters. The recursive extended RTSS which consists of a forward filter and a backward smoothing is used to deal with the nonlinear Doppler and bearing measurements. The target range unobservability problem is avoided due to using multiple passive sensors. The simulation results show that the proposed algorithm works well in a passive multiple-target tracking system under dense clutter environment, and its computing cost is low. |
| format | Article |
| id | doaj-art-356977d8b51f438d8b1715c563196c6c |
| institution | Kabale University |
| issn | 1687-5966 1687-5974 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-356977d8b51f438d8b1715c563196c6c2025-02-03T07:24:12ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742021-01-01202110.1155/2021/41637664163766Passive Sonar Multiple-Target Tracking with Nonlinear Doppler and Bearing Measurements Using Multiple SensorsXiaohua Li0Bo Lu1Wasiq Ali2Jun Su3Haiyan Jin4School of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048, ChinaSchool of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048, ChinaSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048, ChinaThe major advantage of the passive multiple-target tracking is that the sonars do not emit signals and thus they can remain covert, which will reduce the risk of being attacked. However, the nonlinearity of the passive Doppler and bearing measurements, the range unobservability problem, and the measurement to target data association uncertainty make the passive multiple-target tracking problem challenging. To deal with the target to measurement data association uncertainty problem from multiple sensors, this paper proposed a batch recursive extended Rauch-Tung-Striebel smoother- (RTSS-) based probabilistic multiple hypothesis tracker (PMHT) algorithm, which can effectively handle a large number of passive measurements including clutters. The recursive extended RTSS which consists of a forward filter and a backward smoothing is used to deal with the nonlinear Doppler and bearing measurements. The target range unobservability problem is avoided due to using multiple passive sensors. The simulation results show that the proposed algorithm works well in a passive multiple-target tracking system under dense clutter environment, and its computing cost is low.http://dx.doi.org/10.1155/2021/4163766 |
| spellingShingle | Xiaohua Li Bo Lu Wasiq Ali Jun Su Haiyan Jin Passive Sonar Multiple-Target Tracking with Nonlinear Doppler and Bearing Measurements Using Multiple Sensors International Journal of Aerospace Engineering |
| title | Passive Sonar Multiple-Target Tracking with Nonlinear Doppler and Bearing Measurements Using Multiple Sensors |
| title_full | Passive Sonar Multiple-Target Tracking with Nonlinear Doppler and Bearing Measurements Using Multiple Sensors |
| title_fullStr | Passive Sonar Multiple-Target Tracking with Nonlinear Doppler and Bearing Measurements Using Multiple Sensors |
| title_full_unstemmed | Passive Sonar Multiple-Target Tracking with Nonlinear Doppler and Bearing Measurements Using Multiple Sensors |
| title_short | Passive Sonar Multiple-Target Tracking with Nonlinear Doppler and Bearing Measurements Using Multiple Sensors |
| title_sort | passive sonar multiple target tracking with nonlinear doppler and bearing measurements using multiple sensors |
| url | http://dx.doi.org/10.1155/2021/4163766 |
| work_keys_str_mv | AT xiaohuali passivesonarmultipletargettrackingwithnonlineardopplerandbearingmeasurementsusingmultiplesensors AT bolu passivesonarmultipletargettrackingwithnonlineardopplerandbearingmeasurementsusingmultiplesensors AT wasiqali passivesonarmultipletargettrackingwithnonlineardopplerandbearingmeasurementsusingmultiplesensors AT junsu passivesonarmultipletargettrackingwithnonlineardopplerandbearingmeasurementsusingmultiplesensors AT haiyanjin passivesonarmultipletargettrackingwithnonlineardopplerandbearingmeasurementsusingmultiplesensors |