多角度探测模式下结合Hough变换与SVR的墙后目标定位算法  

A Through-wall Target Location Algorithm Combing Hough Transform and SVR in Multi-view Detection Mode

作　　者：欧阳方平[1] 曹家璇 丁一鹏[2] OUYANG Fangping;CAO Jiaxuan;DING Yipeng(School of Physics,Central South University,Changsha 410012,China;School of Electronic Information,Central South University,Changsha 410004,China)

机构地区：[1]中南大学物理学院,长沙410012 [2]中南大学电子信息学院,长沙410004

出　　处：《雷达学报（中英文）》2024年第4期838-851,共14页Journal of Radars

基　　金：湖南省自然科学基金(2022JJ30749);中南大学研究生自主探索创新项目(2023ZZTS0398);国家自然科学基金(52073308);湖南省创新省建设专项基金(2020RC3004)。

摘　　要：多普勒穿墙雷达在定位墙后目标时,存在以下两个难点:(1)准确获取频率混叠区域目标瞬时频率;(2)通过获取精确的墙体参数来减小墙体对定位造成的影响。针对以上问题该文提出了一种结合Hough变换和支持向量回归-BP神经网络的目标定位算法。该文首先设计了一种多视角融合穿墙目标探测模型框架,通过获取不同视角下的目标位置来提供辅助估计墙体参数信息;其次,结合差分进化算法和切比雪夫插值多项式提出了一种目标瞬时频率曲线的高精度提取和估计算法;最后,利用估计的墙体参数信息,提出了一种基于BP神经网络的目标运动轨迹补偿算法,抑制了障碍物对目标定位结果的扭曲影响,实现了对墙后目标的精确定位。实验结果表明,相较于传统的短时傅里叶方法,该文所述方法可以准确提取时频混叠区域的目标瞬时频率曲线并减小墙体造成的影响,从而实现墙后多目标的准确定位,整体定位精度提升了约85%。Doppler through-wall radar faces two challenges when locating targets concealed behind walls:(1)precisely determining the instantaneous frequency of the target within the frequency aliasing region and(2)reducing the impact of the wall on positioning by determining accurate wall parameters.To address these issues,this paper introduces a target localization algorithm that combines the Hough transform and support vector regression-BP neural network.First,a multiview fusion model framework is proposed for through-wall target detection,which enables the auxiliary estimation of wall parameter information by acquiring target positions from different perspectives.Second,a high-precision extraction and estimation algorithm for the instantaneous frequency curve of the target is proposed by combining the differential evolutionary algorithm and Chebyshev interpolation polynomials.Finally,a target motion trajectory compensation algorithm based on the Back Propagation(BP)neural network is proposed using the estimated wall parameter information,which suppresses the distorting effect of obstacles on target localization results and achieves the accurate localization of the target behind a wall.Experimental results indicate that compared with the conventional short-time Fourier method,the developed algorithm can accurately extract target instantaneous frequency curves within the time-frequency aliasing region.Moreover,it successfully reduces the impact caused by walls,facilitating the precise localization of multiple targets behind walls,and the overall localization accuracy is improved~85%.

关 键 词：多普勒穿墙雷达 目标定位 HOUGH变换 切比雪夫多项式 运动轨迹补偿 

分 类 号：TN957.52[电子电信—信号与信息处理]