An Integrated Detection and Tracking Algorithm Assisted by Multi-information for Bistatic Radar

YAN Junkun; WANG Yingping; LÜ Jindong; DENG Xiaobo; LIU Hongwei

doi:10.11999/JEIT220261

Volume 45 Issue 4

Apr. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(4): 1236-1242

YAN Junkun, WANG Yingping, LÜ Jindong, DENG Xiaobo, LIU Hongwei. An Integrated Detection and Tracking Algorithm Assisted by Multi-information for Bistatic Radar[J]. Journal of Electronics & Information Technology, 2023, 45(4): 1236-1242. doi: 10.11999/JEIT220261

Citation:

YAN Junkun, WANG Yingping, LÜ Jindong, DENG Xiaobo, LIU Hongwei. An Integrated Detection and Tracking Algorithm Assisted by Multi-information for Bistatic Radar[J]. Journal of Electronics & Information Technology, 2023, 45(4): 1236-1242. doi: 10.11999/JEIT220261

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An Integrated Detection and Tracking Algorithm Assisted by Multi-information for Bistatic Radar

doi: 10.11999/JEIT220261

1.
National Laboratory of Radar Signal Processing, Xidian University , Xi’an 710071, China
2.
China Academy of Electronics and Information Technology, Beijing 100000, China
3.
AVIC Leihua Electronic Technology Institute, Wuxi 214063, China

Funds: The National Natural Science Foundation of China(62071345), The Natural Science Foundation of Shannxi Province (2020JQ-297), The Aero Science Foundation of China (201920081002)

Received Date: 2022-03-11
Rev Recd Date: 2022-06-17

Available Online: 2022-06-25

Publish Date: 2023-04-10

Abstract

Abstract

In this paper, an integrated detection and tracking algorithm assisted by multi-information is proposed for bistatic radar. Combining with multiple prior information such as target position and echo amplitude obtained by the radar in the target tracking stage assist in the design of the detection threshold within the tracking gate in order to improve the detection and tracking performance of the target. Firstly, according to the prior information of the acquired target location, the traditional likelihood ratio detector is modified based on the Bayesian minimum error criterion under the framework of Probabilistic Data Association (PDA). In order to improve further the weak target detection performance, the track termination criterion is introduced to relax the threshold setting rules, and the average false alarm probability and detection probability within the tracking gate are rededuced. Finally, the calculation method of the association probability of the PDA algorithm are calculated in the case of multi-information assistance. A complete algorithm flow is given, and the feasibility and effectiveness of the algorithm are verified through simulation experiments.
- Bistatic radar,
- Multi-information assistance,
- Track termination criterion

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References(20)

References

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