一种基于跟踪信息的多基雷达系统航迹起始算法

刘红亮; 但晓东; 周生华; 刘宏伟

doi:10.11999/JEIT150148

一种基于跟踪信息的多基雷达系统航迹起始算法

doi: 10.11999/JEIT150148

基金项目:

国家自然科学基金(61401329, 61271024, 60901065)

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- 被引次数: 0
出版历程
- 收稿日期: 2015-01-27
- 修回日期: 2015-05-26
- 刊出日期: 2015-10-19

A Track Initiation Algorithm for Multisite Radar Systems Based on Tracking Information

Funds:

The National Natural Science Foundation of China (61401329, 61271024, 60901065)

摘要

摘要: 多基雷达系统(MSRS)可以大大提高目标定位性能，然而由于各个雷达站信噪比的差异，通常存在一些雷达站尚未建立目标航迹，从而不能最大程度地提高目标定位精度。因此，如何利用其它雷达站提供的目标跟踪信息，提高尚未建立目标航迹的雷达站的探测性能是一个值得研究的问题。为此，该文提出一种基于跟踪信息的航迹起始算法。首先将已经跟踪到目标的雷达站提供的目标跟踪信息，送至尚未建立目标航迹的雷达站；然后利用目标跟踪信息和目标运动模型，建立目标预测波门；最终在虚假航迹起始概率恒定的条件下，调整预测波门内的检测门限，完成目标检测和航迹起始过程。仿真实验表明，该算法可以大大提高目标检测概率和目标航迹起始概率。
- 雷达 /
- 航迹起始 /
- 跟踪信息 /
- 预测波门 /
- 虚假航迹起始概率
Abstract: MultiSite Radar Systems (MSRS) can significantly improve target localization performance. However, due to the difference of signal-to-noise ratios of separate radar sites, there usually exist some radar sites that have not initiated a target track, hence target localization accuracy can not be improved to the best. So an interesting problem is how to use target tracking information provided by other radar sites to improve the detection performance of the radar sites that have not initiated the target track. In this paper, a track initiation algorithm based on tracking information is proposed. Firstly, the target tracking information provided by the radar sites that have already tracked a target is transmitted to the radar sites that have not initiated the target track. Then, a predicted gate is established according to the tracking information and target dynamic model. Finally detection thresholds in the predicted gate are adjusted under a constant probability of false track initiation, and target detection and track initiation are accomplished. Numerical results indicate that the proposed algorithm can significantly improve the probability of target detection and target track initiation.
- Radar /
- Track initiation /
- Tracking information /
- Predicted gate /
- Probability of false track initiation

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参考文献(22)

Chernyak V S. Fundamentals of Multisite Radar Systems: Multistatic Radars and Multiradar Systems[M]. New York: Gorden and Breach Science Publisher, 1998: Chapter 1.

Zhou Sheng-hua and Liu Hong-wei. Space-partition-based target detection for distributed MIMO radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 2013, 49(4): 2717-2729.

刘钦, 刘峥, 谢荣. 防空雷达网对多隐身目标的协同检测与跟踪[J]. 电子与信息学报, 2013, 35(3): 601-607.

Liu Qin, Liu Zheng, and Xie Rong. Collaborative detection and tracking of stealthy target by netted radar[J]. Journal of Electronics Information Technology, 2013, 35(3): 601-607.

严俊坤, 戴奉周, 秦童, 等. 一种针对目标三维跟踪的多基地雷达系统功率分配算法[J]. 电子与信息学报, 2013, 35(4): 901-907.

Yan Jun-kun, Dai Feng-zhou, Qin Tong, et al.. A power allocation approach for 3D target tracking in multistatic radar systems[J]. Journal of Electronics Information Technology, 2013, 35(4): 901-907.

何友, 修建娟, 关欣, 等. 雷达数据处理及应用[M]. 第3版, 北京: 电子工业出版社, 2013: 第8章.

He you, Xiu Jian-juan, Guan Xin, et al.. Radar Data Processing with Applications[M]. Third Edition, Beijing: Publishing House of Electronics Industry, 2013: Chapter 8.

汤琦, 黄建国, 杨旭东. 航迹起始算法及性能仿真[J]. 系统仿真学报, 2007, 19(1): 149-152.

Tang Qi, Huang Jian-guo, and Yang Xu-dong. Algorithm of track initiation and performance evaluation[J]. Journal of System Simulation, 2007, 19(1): 149-152.

吴泽民, 张磊, 刘晗, 等. 基于随机 Hough 变换的三维集中式航迹起始算法[J]. 电子学报, 2013, 41(5): 840-847.

Wu Ze-min, Zhang Lei, Liu Han, et al.. Centralized 3D track initialization using random Hough transformation[J]. Acta Electronica Sinica, 2013, 41(5): 840-847.

鹿传国, 冯新喜, 孔云波, 等. 并行Hough变换航迹起始[J]. 雷达学报, 2013, 2(3): 292-299.

Lu Chuan-guo, Feng Xin-xi, Kong Yun-bo, et al.. Track initiation based on parallel Hough transform[J]. Journal of Radars, 2013, 2(3): 292-299.

Fortmann T, Bar-Shalom Y, Scheffe M, et al.. Detection thresholds of tracking in cluttera connection between estimation and signal processing[J]. IEEE Transactions on Automatic Control, 1985, 30(3): 221-229.

Li X R and Bar-Shalom Y. Detection threshold selection for tracking performance optimization[J]. IEEE Transactions on Aerospace and Electronic Systems, 1994, 30(3): 742-749.

Gelfand S B, Fortmann T E, and Bar-Shalom Y. Adaptive detection threshold optimization for tracking in clutter[J]. IEEE Transactions on Aerospace and Electronic Systems, 1996, 32(2): 514-523.

Aslan M S, Saranl A, and Baykal B. Tracker-aware adaptive detection: an efficient closed-form solution for the Neyman-Pearson case[J]. Digital Signal Processing, 2010, 20(5): 1468-1481.

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.

Tian Xin and Bar-Shalom Y. On algorithms for asynchronous track-to-track fusion[C]. 2010 13th Conference on Information Fusion, Edinburgh, England, 2010: 1-8.

董凯, 关欣, 王海鹏, 等. 基于序贯修正灰关联度的全局最优航迹关联算法[J]. 电子与信息学报, 2014, 36(8): 1939-1945.

Dong Kai, Guan Xin, Wang Hai-peng, et al.. Global optimal track association algorithm based on sequential modified grey association degree[J]. Journal of Electronics Information Technology, 2014, 36(8): 1939-1945.

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