系统工程与电子技术

• 传感器与信号处理 • 上一篇    下一篇

基于方位向门限的FMCW MIMO雷达波束形成成像算法

王伟, 梁栋, 刘琦, 杜东贞, 段海涛   

  1. 哈尔滨工程大学自动化学院, 黑龙江 哈尔滨 150001
  • 出版日期:2015-11-25 发布日期:2010-01-03

Beamforming imaging algorithm for FMCW MIMO radar based on threshold

WANG Wei, LIANG Dong, LIU Qi, DU Dong-zhen, DUAN Hai-tao   

  1. College of Automation, Harbin Engineering University, Harbin 150001, China
  • Online:2015-11-25 Published:2010-01-03

摘要:

针对传统波束形成算法的旁瓣效应在调频连续波多输入多输出(frequency modulated continuous wave multiple-input multiple-output,FMCW MIMO)雷达的成像结果中造成的方位向虚警问题,提出了一种基于方位向门限的改进成像算法。首先从原始数据中分别提取目标的距离向、方位向信息,然后单独将方位信息归一化之后使用门限检测实现了对方位向虚假目标的抑制,最后结合距离向信息与方位向信息得到了成像结果。仿真成像实验证明,该方法能使得成像结果中的虚警概率明显降低,外场实验的成像结果进一步验证了所提出算法出色的成像性能。

Abstract:

To solve the problem that false alarms caused by the grating lobes of traditional beamforming algorithms appear in the angular dimension of frequency modulated continuous wave multiple-input multiple-output (FMCW MIMO) radar’s imaging results, an improved imaging algorithm based on azimuth threshold is proposed. First, the range information and azimuth information of targets are extracted from the original data separately, and then a detection threshold is applied to the azimuth data after normalization so as to limit the appearance of false targets in angular dimension. Finally, range information and azimuth information are combined with each other to obtain the imaging results. Imaging simulation proves that the false alarm probability is obviously reduced by the algorithm, and the results of field experiments further verify the remarkable imaging performance of the proposed algorithm.