基于动态规划的机动目标加权自适应相参积累方法

陈帅霖; 罗丰; 张林让; 胡冲; 陈世超

doi:10.12000/JR17002

基于动态规划的机动目标加权自适应相参积累方法

DOI: 10.12000/JR17002

西安电子科技大学雷达信号处理国家重点实验室西安 710071

基金项目: 国家部委基金(4010101030101)，国家重大科学仪器设备开发专项资金(2013YQ20060705)

详细信息

作者简介:
陈帅霖(1986–)，男，西安电子科技大学雷达信号处理国家重点实验室博士生，研究方向为杂波背景下的目标检测与跟踪。E-mail: chenshuailin@live.cn

罗　丰(1971–)，男，西安电子科技大学雷达信号处理国家重点实验室博士生导师，教授，研究方向为雷达系统设计、雷达信号与信息处理、高速实时信号处理。E-mail: luofeng@xidian.edu.cn

张林让(1966–)，男，西安电子科技大学雷达信号处理国家重点实验室博士生导师，教授，研究方向为雷达系统建模仿真与评估、阵列信号处理、自适应信号处理。E-mail: lrzhang@xidian.edu.cn

胡冲：胡冲(1987–)，男，西安电子科技大学雷达信号处理国家重点实验室博士生，研究方向为海杂波特性分析与建模。E-mail: hake_hc@163.com

陈世超(1992–)，女，西安电子科技大学雷达信号处理国家重点实验室博士生，研究方向为基于深度学习的雷达目标检测。E-mail: scchen@stu.xidian.edu.cn

通讯作者:
罗丰 luofeng@xidian.edu.cn

中图分类号: TN957.51
计量
- 文章访问数: 2298
- HTML全文浏览量: 508
- PDF下载量: 796
- 被引次数: 0
出版历程
- 收稿日期: 2017-01-03
- 修回日期: 2017-03-15
- 网络出版日期: 2017-06-28

Weighted Adaptive Step Coherent Integration Method for Maneuvering Target Based on Dynamic Programming

National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China

Funds: The National Ministries Foundation (4010101030101), The National Key Scientific Instrument and Equipment Development Project Funds (2013YQ20060705)

摘要

摘要: 针对机动目标径向速度变化和距离徙动与多普勒扩展的耦合关系，该文提出一种基于动态规划的加权自适应相参积累(DPWACI)方法。该方法能够沿着目标运动轨迹进行高效能量积累。首先，加权的动态规划过程能够精确搜索目标各时刻的位置与速度；其次，改进的相参积累能够对整个过程中的相位扩展进行多普勒校正；最后，自适应步长能够在不同速度搜索通道采用相应的相参积累时间。该算法无需估计具体运动参数，适用于任意机动方式。仿真结果和性能对比展示了该算法的估计精确性以及相较于传统算法的优越性。
- 加权矩阵 /
- 自适应步长 /
- 动态规划 /
- 相参积累 /
- 机动目标
Abstract: In allusion to the coupling relationship among radial velocity variation, range migration, and Doppler spread of a maneuvering target, a Dynamic Programing (DP)-based Weighted Adaptive Coherent Integration (DPWACI) detection method is proposed. The target energy could be efficiently integrated along its trajectory by the proposed method. The main idea of DPWACI is the joint execution of the three operations: the weighted DP procedure that could accurately search the current position and velocity of the target; the improved coherent integration that could calibrate the Doppler shift during the entire process with a large phase spread; and the adaptive step that could make the integration time suitable for each velocity searching bin. The proposed method is applicable to a target with an arbitrary motion without estimating its specific movement parameters. Simulation results and performance comparisons show the exactitude and superiority of the proposed method.
- Weighting matrix /
- Adaptive step /
- Dynamic Programming (DP) /
- Coherent integration /
- Maneuvering target

HTML全文

图 1 本文算法流程图

Figure 1. Flow chart of this paper algorithm

下载: 全尺寸图片幻灯片

图 2 权系数曲线

Figure 2. Curve of weight coefficient

下载: 全尺寸图片幻灯片

图 3 DPWACI处理结果

Figure 3. Result of DPWACI

下载: 全尺寸图片幻灯片

图 4 MTD处理结果

Figure 4. Result of MTD

下载: 全尺寸图片幻灯片

图 5 RFT处理结果

Figure 5. Result of RFT

下载: 全尺寸图片幻灯片

图 6 检测性能对比曲线

Figure 6. Curves of comparison of detection performances

下载: 全尺寸图片幻灯片

图 7 速度估计均方根误差

Figure 7. Root mean square error of estimated velocity

下载: 全尺寸图片幻灯片

参考文献(14)

[1]	Loomis J M. Army radar requirements for the 21st century[C]. Proceedings of IEEE Radar Conference, Boston, Massachusetts, USA, 2007: 1–6.
[2]	曾建奎, 何子述, 刘红明. 一种基于改进Hough变换的雷达检测方法[J]. 电波科学学报, 2008, 23(5): 838–840, 904. http://www.cnki.com.cn/Article/CJFDTOTAL-DBKX200805008.htm Zeng Jian-kui, He Zi-shu, and Liu Hong-ming. Improved detection algorithm for radar based on Hough transform[J]. Chinese Journal of Radio Science, 2008, 23(5): 838–840, 904. http://www.cnki.com.cn/Article/CJFDTOTAL-DBKX200805008.htm
[3]	庞存锁, 侯慧玲, 韩焱. 基于霍夫变换的高速微弱目标检测算法[J]. 电子与信息学报, 2012, 34(3): 754–757. http://www.cnki.com.cn/Article/CJFDTOTAL-DZYX201203043.htm Pang Cun-suo, Hou Hui-ling, and Han Yan. High-speed weak target detection based on Hough transform[J]. Journal of Electronics & Information Technology, 2012, 34(3): 754–757. http://www.cnki.com.cn/Article/CJFDTOTAL-DZYX201203043.htm
[4]	赵永波, 周晓佩, 王娟. 一种用于弱信号检测的广义Keystone变换算法[J]. 西安电子科技大学学报(自然科学版), 2013, 40(2): 98–102, 122. http://www.cnki.com.cn/Article/CJFDTOTAL-XDKD201302015.htm Zhao Yong-bo, Zhou Xiao-pei, and Wang Juan. Generalized Keystone transform algorithm for dim moving target detection[J]. Journal of Xidian University, 2013, 40(2): 98–102, 122. http://www.cnki.com.cn/Article/CJFDTOTAL-XDKD201302015.htm
[5]	田瑞琦, 鲍庆龙, 王丁禾, 等. 基于FRFT与Keystone变换的运动目标参数估计算法[J]. 雷达学报, 2014, 3(5): 511–517. http://radars.ie.ac.cn/CN/abstract/abstract200.shtml Tian Rui-qi, Bao Qing-long, Wang Ding-he, et al.. An algorithm for target parameter estimation based on fractional Fourier and keystone transforms[J]. Journal of Radars, 2014, 3(5): 511–517. http://radars.ie.ac.cn/CN/abstract/abstract200.shtml
[6]	Zeng Jian-kui, He Zi-shu, Sellathurai M, et al.. Modified Hough transform for searching radar detection[J]. IEEE Geoscience and Remote Sensing Letters, 2008, 5(4): 683–686. doi: 10.1109/LGRS.2008.2002574
[7]	Xu Jia, Yu Ji, Peng Ying-ning, et al.. Radon-Fourier transform for radar target detection, I: Generalized Doppler filter bank[J]. IEEE Transactions on Aerospace and Electronic Systems, 2011, 47(2): 1186–1202. doi: 10.1109/TAES.2011.5751251
[8]	Xu Jia, Xia Xiang-gen, Peng Shi-bao, et al.. Radar maneuvering target motion estimation based on generalized Radon-Fourier transform[J]. IEEE Transactions on Signal Processing, 2012, 60(12): 6190–6201. doi: 10.1109/TSP.2012.2217137
[9]	许稼, 彭应宁, 夏香根, 等. 空时频检测前聚焦雷达信号处理方法[J]. 雷达学报, 2014, 3(2): 129–141. http://radars.ie.ac.cn/CN/abstract/abstract165.shtml Xu Jia, Peng Ying-ning, Xia Xiang-gen, et al.. Radar signal processing method of space-time-frequency focus-before-detects[J]. Journal of Radars, 2014, 3(2): 129–141. http://radars.ie.ac.cn/CN/abstract/abstract165.shtml
[10]	林春风, 黄春琳, 粟毅. 双基地雷达Radon-Fourier变换弱目标积累检测[J]. 雷达学报, 2016, 5(5): 526–530. http://radars.ie.ac.cn/CN/abstract/abstract358.shtml Lin Chun-feng, Huang Chun-lin, and Su Yi. Target integration and detection with the Radon-Fourier transform for bistatic radar[J]. Journal of Radars, 2016, 5(5): 526–530. http://radars.ie.ac.cn/CN/abstract/abstract358.shtml
[11]	Johnston L A and Krishnamurthy V. Performance analysis of a dynamic programming track before detect algorithm[J]. IEEE Transactions on Aerospace and Electronic Systems, 2002, 38(1): 228–242. doi: 10.1109/7.993242
[12]	郑岱堃, 王首勇, 杨军, 等. 一种基于二阶Markov目标状态模型的多帧关联动态规划检测前跟踪算法[J]. 电子与信息学报, 2012, 34(4): 885–890. DOI: 10.3724/SP.J.1146.2011.00687. Zheng Dai-kun, Wang Shou-yong, Yang Jun, et al.. A multi-frame association dynamic programming track-before-detect algorithm based on second order Markov target state model[J]. Journal of Electronics & Information Technology, 2012, 34(4): 885–890. DOI: 10.3724/SP.J.1146.2011.00687.
[13]	张鹏, 张林让, 胡子军. HPRF雷达距离延拓检测前跟踪方法[J]. 西安电子科技大学学报(自然科学版), 2014, 41(5): 207–212. http://www.cnki.com.cn/Article/CJFDTOTAL-XDKD201405036.htm Zhang Peng, Zhang Lin-rang, and Hu Zi-jun. Tracking-before-detection method based on range extension for HPRF radars[J]. Journal of Xidian University (Natural Science), 2014, 41(5): 207–212. http://www.cnki.com.cn/Article/CJFDTOTAL-XDKD201405036.htm
[14]	Liu Shu-lin, Chen Xin-liang, Zeng Tao, et al.. New analytical approach to detection threshold of a dynamic programming track-before-detect algorithm[J]. IET Radar, Sonar & Navigation, 2013, 7(7): 773–779.