基于多普勒频偏估计的单帧图像低速运动目标检测方法

黄聪; 刘寅

doi:10.11999/JEIT151078

基于多普勒频偏估计的单帧图像低速运动目标检测方法

doi: 10.11999/JEIT151078

黄聪¹,
刘寅¹

基金项目:

国家重点实验室基金(9140C200406110C2001)，国防基础科研计划(B2420132004)，国家863计划项目 (2012AA 090901-4)

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出版历程
- 收稿日期: 2015-09-21
- 修回日期: 2016-01-29
- 刊出日期: 2016-07-19

Low-speed Moving Target Detection of Single Frame Image Based on Doppler Shift Estimation

HUANG Cong¹,
LIU Yin¹

Funds:

The National Key Laboratory Foundation (9140C200406110C2001), The National Defense Basic Scientific Research Program of China (B2420132004), The National 863 Program of China (2012AA090901-4)

摘要

摘要: 常用的图像域运动目标检测跟踪方法对虚警率较敏感，当虚警率较高时，目标检测跟踪的实时性受限。为了降低目标初始检测的虚警率，进而提高目标检测跟踪的实时性，该文提出一种基于多普勒频偏估计的单帧图像低速运动目标检测算法，通过发射多普勒不敏感的LFM脉冲对，忽略多普勒效应对成像结果的影响，但在图像域检测的同时，利用目标回波的多普勒频偏信息进行静目标和杂波亮点的剔除，基于单帧数据，减小运动目标检测的虚警率，实现单帧图像的运动目标检测，从而为目标跟踪奠定良好基础。该算法首先进行图像域的恒虚警检测，再利用宽带时域波束形成和复相关频率测量法，对检测亮点处的波束输出信号进行多普勒测频，仅通过单帧图像就可有效剔除静目标和杂波亮点。同时为了改善宽带时域波束形成的性能，利用2阶锥规划设计滤波器的系数，用9阶FIR滤波器实现了0.01倍采样点的小数时延，提高了多普勒频偏的估计精度。最后通过计算机仿真和水池试验验证了所提算法的有效性。
- 2维成像 /
- 动目标检测 /
- 多普勒频偏估计 /
- 小数时延
Abstract: The regular algorithms of target detection and tracking in image domain are very sensitive to the false alarm rate, and the real time performance of target detection and tracking is limited with high false alarm rate. In order to reduce the false alarm rate of original target detection and improve the real time performance, an algorithm of low-speed moving target detection of single frame image based on Doppler shift estimation is proposed. Through transmitting LFM plus pair signal which is non-sensitive to the Doppler shift, the influence on image by Doppler shift can be ignored. But during the detection in image domain, the Doppler shift of target echo is used to remove static targets and clutter highlights. The false alarm rate of moving target detection is reduced based on single frame data, the moving target detection is achieved through a single frame image to make a good foundation for target tracking later. First, the CFAR determination in image domain is carried out in the algorithm. Then, the Doppler shift of the beamforming signal at the highlights detected is estimated through time-domain broadband beamforming and complex correlation frequency measurement. The static targets and clutter highlights are removed effectively through single frame image. In order to improve the performance of time-domain broadband beamforming, the filter coefficients are designed by second order cone programming. The 0.01 times sampling point of the fractional delay is achieved by a 9-order FIR filter and the estimation accuracy of the Doppler shift is improved. The validity of the proposed method is verified by the computer simulation and pool experiment.
- Two-dimensional imaging /
- Moving target detection /
- Doppler shift estimation /
- Fractional delay

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参考文献(26)

张伟豪, 许枫. 水下蛙人被动探测技术实验研究[J]. 声学学报, 2012, 37(3): 301-307. doi: 10.15949/j.cnki.0371-0025.2012.03. 006.

ZHANG Weihao and XU Feng. Experiment and study for passive acoustic detection of underwater divers[J]. Acta Acustica, 2012, 37(3): 301-307. doi: 10.15949/j.cnki. 0371-0025.2012.03.006.

BREKKE E, HALLINGSTAD O, and GLATTETRE J. Tracking small targets in heavy-tailed clutter using amplitude information[J]. IEEE Journal of Oceanic Engineering, 2010, 35(2): 314-392.

高文, 汤洋, 朱明. 复杂背景下目标检测的级联分类器算法研究[J]. 物理学报, 2014, 63(9): 94204-94207. doi: 10.7498/aps. 63.094204.

GAO Wen, TANG Yang, and ZHU Ming. Study on the cascade classifier in target detection under complex background[J]. Acta Physica Sinica, 2014, 63(9): 94204-94207. doi: 10.7498/aps.63.094204.

易伟. 基于检测前跟踪技术的多目标跟踪算法研究[D]. [博士论文], 电子科技大学, 2012.

YI Wei. Research on Track-before-detect algorithms for multiple-target detection and tracking[D]. [Ph. D. disser- tation], University of Electronic Science and Technology of China, 2012.

YANG T C, SCHINDALL J, and HUANG C F. Clutter reduction using Doppler sonar in a harbor environment[J]. The Journal of the Acoustical Society of America, 2012, 132(5): 3053-3067.

黄聪, 孙大军, 张殿伦. 强相干干扰下基于二阶锥规划的圆弧阵宽带二维成像[J]. 电子与信息学报, 2014, 36(11): 2634-2639. doi: 10.3724/SP.J.1146.2013.01796.

HUANG Cong, SUN Dajun, and ZHANG Dianlun. Wideband two-dimensional imaging with arc array based on second-order cone programming under strong coherent interference[J]. Journal of Electronics Information Technology, 2014, 36(11): 2634-2639. doi: 10.3724/SP.J.1146. 2013.01796.

黄聪, 孙大军, 张殿伦. 双基地多输入多输出虚拟阵列的稳健低旁瓣波束优化技术[J]. 物理学报, 2014, 63(18): 188401-188406. doi: 10.7498/aps.63.188401.

HUANG Cong, SUN Dajun, and ZHANG Dianlun. Optimizations for robust low sidelobe beamforming of bistatic MIMO virtual array[J]. Acta Physica Sinica, 2014, 63(18): 188401-188406. doi: 10.7498/aps.63.188401.

陈建军, 黄孟俊, 赵宏钟. 相参雷达时频域CFAR检测门限获取方法研究[J]. 电子学报, 2013, 41(8): 1634-1639. doi: 10.3969/j.issn.0372-2112.2013.08.029.

CHEN Jianjun, HUANG Mengjun, and ZHAO Hongzhong. Research on estimated threshold of CFAR detection in time frequency domain for coherent radar[J]. Acta Electronica Sinica, 2013, 41(8): 1634-1639. doi: 10.3969/j.issn. 0372-2112. 2013.08.029.

李想. 水下高速运动目标轨迹测量技术研究[D]. [博士论文], 哈尔滨工程大学, 2011.

LI Xiang. Research on the techniques of underwater high-speed moving targets trace measuring[D]. [Ph.D. dissertation], Harbin Engineering University, 2011.

马海涛, 彭东立, 王华亮. 宽带多普勒技术中模糊速度处理方法改进[J]. 声学学报, 2011, 36(2): 226-230. doi: 10.15949/ j.cnki.0371-025.2011.02.004.

MA Haitao, PENG Dongli, and WANG Hualiang. An improvememt method to the ambiguous velocity in broad-band Doppler technique[J]. Acta Acustica, 2011, 36(2): 226-230. doi: 10.15949/j.cnki.0371-025.2011.02.004.

时洁, 杨德森, 时胜国. 基于矢量阵的运动声源柱面聚焦定位方法试验研究[J]. 物理学报, 2012, 61(12): 124302-124307.

SHI Jie, YANG Desen, and SHI Shengguo. Experimental research on cylindrical focused beamforming localization method of moving sound sources based on vector sensor array[J]. Acta Physica Sinica, 2012, 61(12): 124302-124307.

梁国龙, 马巍, 范展. 矢量声纳高速运动目标稳健高分辨方位估计[J]. 物理学报, 2013, 62(14): 144302-144307. doi: 10.7498/aps.62.144302.

LIANG Guolong, MA Wei, and FAN Zhan. A high resolution robust localization approach of high speed target based on vector sonar[J]. Acta Physica Sinica, 2013, 62(14): 144302-144307. doi: 10.7498/aps.62.144302.

杨涛, 苏涛, 何学辉. 基于波束域导向矢量估计的稳健自适应波束形成方法[J]. 电子与信息学报, 2013, 35(11): 2759-2763. doi: 10.3724/SP.J.1146.2012.01334.

YANG Tao, SU Tao, and HE Xuehui. Robust adaptive beamforming based on beamspace steering vector estimation[J]. Journal of Electronics Information Technology, 2013, 35(11): 2759-2763. doi: 10.3724/SP.J. 1146.2012.01334.

鄢社锋, 马远良. 基于二阶锥规划的任意传感器阵列时域恒定束宽波束形成[J]. 声学学报, 2005, 30(4): 309-315. doi: 10.15949/j.cnki.0371-025.2005.04.006.

YAN Shefeng and MA Yuanliang. Broadband constant beamwidth beamforming for arbitrary sensor arrays in time domain via second-order cone programming[J]. Acta Acustica, 2005, 30(4): 309-315. doi: 10.15949/j.cnki.0371-025.2005. 04.006.

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