一种航迹恒虚警的目标检测跟踪一体化算法

刘红亮; 周生华; 刘宏伟; 严俊坤

doi:10.11999/JEIT150638

一种航迹恒虚警的目标检测跟踪一体化算法

doi: 10.11999/JEIT150638

基金项目:

国家自然科学基金(61401329, 61271291, 61201285)，国家杰出青年科学基金(61525105)，中国博士后科学基金(2015M 580817)

计量
- 文章访问数: 1365
- HTML全文浏览量: 133
- PDF下载量: 510
- 被引次数: 0
出版历程
- 收稿日期: 2015-06-01
- 修回日期: 2016-01-29
- 刊出日期: 2016-05-19

An Integrated Target Detection and Tracking Algorithm with Constant Track False Alarm Rate

Funds:

The National Natural Science Foundation of China (61401329, 61271291, 61201285), The National Science Fund for Distinguished Young Scholars (61525105), The Postdoctoral Science Foundation of China (2015M580817)

摘要

摘要: 对于传统雷达系统，目标检测和目标跟踪通常被看作是两个独立的过程。然而，在跟踪阶段，可以获得目标位置信息(跟踪信息)，将该信息反馈至目标检测器将有助于提升检测性能。为此，该文提出一种航迹恒虚警的目标检测跟踪一体化算法。首先根据目标跟踪信息和目标运动模型，建立预测波门；然后按照给定的航迹虚警概率，计算帧虚警概率，即预测波门内至少出现一个虚警的概率；最终根据帧虚警概率调整预测波门内的检测门限，完成目标检测过程。仿真实验表明，该算法可以大大提高目标检测概率，推远目标跟踪距离，同时也可以保证目标突然消失时航迹能够以较高的概率结束。
- 目标检测 /
- 目标跟踪 /
- 跟踪信息 /
- 航迹恒虚警
Abstract: For traditional radar systems, target detection and target tracking are usually conducted separately. However, at the tracking stage, the target location information (tracking information) can be obtained, which can be fed back to the target detector to improve detection performance. Therefore, in this paper, an integrated detection and tracking algorithm with constant track false alarm rate is proposed. Firstly, a predicted gate is established according to the tracking information and target dynamic model. Then according to a prescribed track false alarm rate, the frame false alarm rate, i.e., the probability that there exists at least one false alarm in the predicted region, is calculated. Finally, detection thresholds in the predicted region are adjusted according to the frame false alarm rate, and target detection process is accomplished. Simulation results indicate that the proposed algorithm can significantly improve target detection probability and extend the tracking distance, and meanwhile it can guarantee that the target track can be terminated with a high probability when the target disappears suddenly.
- Target detection /
- Target tracking /
- Tracking information /
- Constant track false alarm rate

HTML全文

参考文献(21)

VANTREES H L. Detection, Estimation, and Modulation Theory-Part I[M]. New York: John Wiley and Sons, 1968, Chapter 2.

CHALLA S, MORELANDE M R, MUSIKI D, et al. Fundamentals of Object Tracking[M]. Cambridge: University Press, 2011, Chapter 4.

RICHARDS M A. Fundamentals of Radar Signal Processing[M]. New York: McGraw Hill, 2005, Chapter 1.

于洪波, 王国宏, 曹倩, 等. 一种高脉冲重复频率雷达微弱目标检测跟踪方法[J]. 电子与信息学报, 2015, 37(5): 1097-1103. doi: 10.11999/JEIT140924.

YU Hongbo, WANG Guohong, CAO Qian, et al. A novel approach for detecting and tracking weak targets in high-PRF radar[J]. Journal of Electronics Information Technology, 2015, 37(5): 1097-1103. doi: 10.11999/JEIT 140924.

占荣辉, 刘盛启, 欧建平, 等. 基于序贯蒙特卡罗概率假设密度滤波的多目标检测前跟踪改进算法[J]. 电子与信息学报, 2014, 36(11): 2593-2599. doi: 10.3724/SP.J.1146.2013.02029.

ZHAN Ronghui, LIU Shengqi, OU Jianping, et al. Improved multitarget track before detect algorithm using the sequential monte carlo probability hypothesis density filter[J]. Journal of Electronics Information Technology, 2014, 36(11): 2593-2599. doi: 10.3724/SP.J.1146.2013.02029.

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. doi: 10.3724/SP.J.1146.2012.00883.

YAN Junkun, DAI Fengzhou, 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. doi: 10.3724/SP.J.1146. 2012.00883.

YAN Junkun, LIU Hongwei, JIU Bo, et al. Simultaneous multibeam resource allocation scheme for multiple target tracking[J]. IEEE Transactions on Signal Processing, 2015, 63(12): 3110-3122. doi: 10.1109/TSP.2015.2417504.

RAHMATHULLAH A S, SVENSSON L, SVENSSON D, et al. Smoothed probabilistic data association filter[C]. 2013 16th International Conference on Information Fusion, Istanbul, Turkey, 2013: 1296-1303.

JIANG X, HARISHAN K, THARMARASA R, et al. Integrated track initialization and maintenance in heavy clutter using probabilistic data association[J]. Signal Processing, 2014, 91(1): 241-250. doi:10.1016/j.sigpro.2013. 06.026.

FORTMANN T, BAR-SHALOM Y, SCHEFFE M, et al. Detection thresholds of tracking in clutter-a connection between estimation and signal processing[J]. IEEE Transactions on Automatic Control, 1985, 30(3): 221-229. doi: 10.1109/TAC.1985.1103935.

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. doi: 10.1109/TAC.1985.1103935.

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. doi: 10.1109/7.489496.

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. doi: 10.1016/j.dsp.2010.01.008.

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.

ASLAN M S and SARANLI A. A tracker-aware detector threshold optimization formulation for tracking maneuvering targets in clutter[J]. Signal Processing, 2011, 91(9): 2213-2221. doi: 10.1016/j.sigpro.2011.04.004.

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.

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.

施引文献

资源附件(0)

访问统计