基于扩展贝塞尔拟合模型的连续波穿墙雷达目标定位算法  

Target Location Algorithm of Continuous Wave Through Wall Radar Based on Extended Bezier Fitting Model

作　　者：丁一鹏[1] 高山流水 郭学斌 厍彦龙 DING Yipeng;GAO Shanliushui;GUO Xuebin;SHE Yanlong(School of Physics and Electronics,Central South University,Changsha,Hunan 410083,China)

机构地区：[1]中南大学物理与电子学院,湖南长沙410083

出　　处：《信号处理》2022年第4期720-728,共9页Journal of Signal Processing

基　　金：湖南省创新省建设专项基金(2020RC3004);中南大学研究生自主探索创新项目(2021zzts0498)。

摘　　要：本文提出了一种基于改进Hough变换频率拟合技术的目标定位算法,通过动态调整两个形状参数构造扩展贝塞尔频率拟合模型,利用拟合的曲线解调回波信号完成对多个目标分量的分离,并结合多普勒处理方法合成目标运动轨迹,实现对目标的实时定位。针对拟合模型构建过程中关于多维参数搜索运算大的问题,依据两个参数之间相对独立的特性,采用线性搜索来代替传统的多维搜索,大大降低运算复杂度,优化目标探测的实时性。仿真和实验结果表明,在多人体目标的跟踪定位场景下,该算法有效地抑制了频率模糊,进一步提高了目标运动轨迹复杂多变时的适用性,在多目标定位、跟踪的应用中具有优越性。In this paper,a target localization algorithm based on improved Hough transform frequency fitting technology is proposed.By dynamically adjusting two shape parameters,the adaptive extended Bezier frequency fitting model is constructed.The echo signal is demodulated by the fitting curve to complete the separation of multiple target components,and the target motion trajectory is synthesized by combining Doppler processing method to realize the real-time target positioning and tracking.In order to solve the problem of large computation of multi-dimensional parameter search in the process of fitting model construction,according to the relatively independent characteristics of two parameters,linear search is used to replace the traditional multi-dimensional search,which greatly reduces the computational complexity and optimizes the real-time performance of target detection.The simulation and experimental results show that the algorithm can effectively suppress the frequency ambiguity in the multi-body target tracking and positioning scene,and further improve the applicability when the target trajectory is complex and changeable.

关 键 词：多普勒穿墙雷达 目标定位 HOUGH变换 扩展贝塞尔拟合模型 时频分析 

分 类 号：TN957.52[电子电信—信号与信息处理]