一种多元信息辅助的双基地雷达检测跟踪一体化方法

严俊坤; 王颖萍; 吕进东; 邓晓波; 刘宏伟

doi:10.11999/JEIT220261

一种多元信息辅助的双基地雷达检测跟踪一体化方法

doi: 10.11999/JEIT220261

1.
西安电子科技大学雷达信号处理国家重点实验室西安 710071
2.
中国电子科技集团公司电子科学研究院北京 100000
3.
中国航空工业集团公司雷华电子技术研究所无锡 214063

基金项目: 国家自然科学基金(62071345)，陕西省自然科学基金(2020JQ-297)，中国航空科学基金(201920081002)

详细信息

作者简介:
严俊坤：男，教授，博士，博士生导师，研究方向为单站雷达智能信号处理、网络化雷达协同探测等

王颖萍：女，硕士生，研究方向为信号与信息处理

吕进东：男，硕士，研究方向为信号与信息处理

邓晓波：男，博士，研究员，研究方向为雷达系统、综合监视系统、信号与信息处理等

刘宏伟：男，教授，博士，博士生导师，研究方向为雷达目标分类与识别、认知网络、网络化协同探测等

通讯作者:
严俊坤　jkyan@xidian.edu.cn

中图分类号: TN953
计量
- 文章访问数: 507
- HTML全文浏览量: 236
- PDF下载量: 114
- 被引次数: 0
出版历程
- 收稿日期: 2022-03-11
- 修回日期: 2022-06-17
- 网络出版日期: 2022-06-25
- 刊出日期: 2023-04-10

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

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)

摘要

摘要: 该文针对双基地雷达提出一种多元信息辅助的检测跟踪一体化方法。结合雷达在目标跟踪阶段获取的目标位置与回波幅度等多元先验信息，辅助设计跟踪波门内检测门限，以期提升目标的检测与跟踪性能。该文首先根据已获取的目标位置先验信息，在概率数据互联(PDA)框架下基于贝叶斯最小错误准则修正了传统似然比检测器。为进一步提升弱目标探测性能，该文引入航迹终结准则松弛了门限设置规则，并计算了跟踪波门内的平均虚警概率和检测概率。最后，该文重新推导了多元信息辅助情况下PDA算法的关联概率计算方式，完整地给出了算法流程，并通过仿真实验验证了算法的可行性和有效性。
- 双基地雷达 /
- 多元信息辅助 /
- 航迹终结准则
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

HTML全文

图 1 双基地雷达对目标的观测模型

下载: 全尺寸图片幻灯片

图 2 算法流程图

下载: 全尺寸图片幻灯片

图 3 雷达与目标的空间位置关系

下载: 全尺寸图片幻灯片

图 4 检测概率对比图

下载: 全尺寸图片幻灯片

图 5 检测门限

下载: 全尺寸图片幻灯片

图 6 RMSE对比图

下载: 全尺寸图片幻灯片

参考文献(20)

[1]	王亚莉, 贾宏进. 双基地雷达性能分析及作战应用研究[J]. 舰船电子工程, 2019, 39(9): 77–80,89. doi: 10.3969/j.issn.1672-9730.2019.09.018 WANG Yali and JIA Hongjin. Research on performance analysis and combat application of bistatic radars[J]. Ship Electronic Engineering, 2019, 39(9): 77–80,89. doi: 10.3969/j.issn.1672-9730.2019.09.018
[2]	CHEN Gang and WANG Jun. Target detection method in passive bistatic radar[J]. Journal of Systems Engineering and Electronics, 2020, 31(3): 510–519. doi: 10.23919/JSEE.2020.000021
[3]	GOKCE M and KUZUOGLU M. Unscented Kalman filter-aided Gaussian sum filter[J]. IET Radar, Sonar & Navigation, 2015, 9(5): 589–599. doi: 10.1049/iet-rsn.2014.0088
[4]	WILLETT P, NIU R, and BAR-SHALOM Y. Integration of Bayes detection with target tracking[J]. IEEE Transactions on Signal Processing, 2001, 49(1): 17–29. doi: 10.1109/78.890334
[5]	ZHENG Le, ZENG Tao, LIU Quanhua, et al. Optimization and analysis of PDAF with Bayesian detection[J]. IEEE Transactions on Aerospace and Electronic Systems, 2016, 52(4): 1986–1995. doi: 10.1109/TAES.2016.150176
[6]	严俊坤, 刘红亮, 戴奉周, 等. 一种具有恒虚警性质的检测跟踪联合处理算法[J]. 电子与信息学报, 2014, 36(11): 2666–2671. doi: 10.3724/SP.J.1146.2013.01925 YAN Junkun, LIU Hongliang, DAI Fengzhou, et al. Joint detection and tracking processing algorithm with constant false alarm rate property[J]. Journal of Electronics &Information Technology, 2014, 36(11): 2666–2671. doi: 10.3724/SP.J.1146.2013.01925
[7]	SUN Hao, LI Ming, ZUO Lei, et al. Joint threshold optimization and power allocation of cognitive radar network for target tracking in clutter[J]. Signal Processing, 2020, 172: 107566. doi: 10.1016/j.sigpro.2020.107566
[8]	GUAN Yongsheng and WANG Yingping. Joint detection and tracking scheme for target tracking in moving platform[C]. 2020 IEEE Radar Conference (RadarConf20), Florence, Italy, 2020: 1–4.
[9]	刘红亮, 周生华, 刘宏伟, 等. 一种航迹恒虚警的目标检测跟踪一体化算法[J]. 电子与信息学报, 2016, 38(5): 1072–1078. doi: 10.11999/JEIT150638 LIU Hongliang, ZHOU Shenghua, LIU Hongwei, et al. An integrated target detection and tracking algorithm with constant track false alarm rate[J]. Journal of Electronics &Information Technology, 2016, 38(5): 1072–1078. doi: 10.11999/JEIT150638
[10]	YAN Junkun, PU Wenqiang, ZHOU Shenghua, et al. Collaborative detection and power allocation framework for target tracking in multiple radar system[J]. Information Fusion, 2020, 55: 173–183. doi: 10.1016/j.inffus.2019.08.010
[11]	刘红亮, 陈超, 岳凯. 基于跟踪信息的多帧联合检测方法[J]. 系统工程与电子技术, 2021, 43(8): 2124–2128. doi: 10.12305/j.issn.1001-506X.2021.08.13 LIU Hongliang, CHEN Chao, and YUE Kai. Multi-frame joint detection method based on tracking information[J]. Systems Engineering and Electronics, 2021, 43(8): 2124–2128. doi: 10.12305/j.issn.1001-506X.2021.08.13
[12]	王峰, 邢雷, 梁彦, 等. 知识辅助的贝叶斯检测联合跟踪框架与方法[J]. 中国电子科学研究院学报, 2019, 14(4): 381–386. LERRO D and BAR-SHALOM Y. Interacting multiple model tracking with target amplitude feature[J]. IEEE Transactions on Aerospace and Electronic Systems, 1993, 29(2): 494–509.
[13]	吴丽丝. 基于知识的目标跟踪理论与应用研究[D]. [硕士论文], 电子科技大学, 2019: 45–50. WU Lisi. Research on the theory and application of target tracking based on knowledge[D]. [Master dissertation], University of Electronic Science and Technology of China, 2019: 45–50.
[14]	刘君伟. 岸/船双基地地波雷达目标跟踪方法研究[D]. [硕士论文], 内蒙古大学, 2021: 8–21. LIU Junwei. Research on target tracking method for coast/ship bistatic high frequency surface wave radar[D]. [Master dissertation], Inner Mongolia University, 2021: 8–21.
[15]	程丰, 湛兰, 卢一帆. 基于双基地雷达探测的跟踪优化建模仿真研究[J]. 计算机仿真, 2015, 32(6): 13–17. doi: 10.3969/j.issn.1006-9348.2015.06.004 CHENG Feng, ZHAN Lan, and LU Yifan. Modeling and simulation of track optimization based on bistatic radars detection[J]. Computer Simulation, 2015, 32(6): 13–17. doi: 10.3969/j.issn.1006-9348.2015.06.004
[16]	王峰, 邢雷, 梁彦, 等. 知识辅助的贝叶斯检测联合跟踪框架与方法[J]. 中国电子科学研究院学报, 2019, 14(4): 381–386. doi: 10.3969/j.issn.1673-5692.2019.04.009 WANG Feng, XING Lei, LIANG Yan, et al. A knowledge-aided framework and method of Bayesian joint detecting and tracking[J]. Journal of China Academy of Electronics and Information Technology, 2019, 14(4): 381–386. doi: 10.3969/j.issn.1673-5692.2019.04.009
[17]	ASLAN M S and SARANLI A. Threshold optimization for tracking a nonmaneuvering target[J]. IEEE Transactions on Aerospace and Electronic Systems, 2011, 47(4): 2844–2859. doi: 10.1109/TAES.2011.6034668
[18]	YAN Junkun, LIU Hongwei, PU Wenqiang, et al. Joint threshold adjustment and power allocation for cognitive target tracking in asynchronous radar network[J]. IEEE Transactions on Signal Processing, 2017, 65(12): 3094–3106. doi: 10.1109/TSP.2017.2679693
[19]	YAN Junkun, LIU Hongwei, JIU Bo, et al. Joint detection and tracking processing algorithm for target tracking in multiple radar system[J]. IEEE Sensors Journal, 2015, 15(11): 6534–6541. doi: 10.1109/JSEN.2015.2461435
[20]	陈林. 多基地雷达检测跟踪联合处理方法研究[D]. [硕士论文], 西安电子科技大学, 2018: 29–56. CHEN Lin. Study on joint detection and tracking methods for multistatic radar system[D]. [Master dissertation], Xidian University, 2018: 29–56.