改进的毫米波SFCW雷达多目标检测算法  

Improved Multi-target Detection Algorithm for Millimeter Wave Stepped-frequency Continuous Wave Radar

作　　者：黄梁 朱莉[1] 刘婕 HUANG Liang;ZHU Li;LIU Jie(Department of Detection and Control Engineering,Electro-Optical Institute, Nanjing University of Science of Technology,Nanjing 210094,China)

机构地区：[1]南京理工大学电光学院探测与控制工程系,南京210094

出　　处：《制导与引信》2018年第3期34-38,共5页Guidance & Fuze

摘　　要：单频连续波雷达主要用于测速,不能用来测距。基于双频比相的多频连续波雷达兼容测速与测距,但无法分离速度相同的目标。针对以上问题,结合连续波频域测速原理和二维快速傅里叶算法,改进了毫米波步进频连续波(SFCW)雷达的多目标识别方法。仿真结果表明,该算法有效可行,不仅能有效识别多目标,且测速与测距精度有显著提高。The current single-frequency continuous-wave radar is mainly used for measuring speed and cannot be used for distance measurement.Multi-frequency continuous-wave radar based on dual-frequency ratio can measure speed and distance,but cannot separate targets with the same speed.In order to solve the above problems,combined with continuous wave frequency domain velocity measurement theory and two-dimensional fast Fourier algorithm,the multi-target recognition method for step-frequency continuous wave (SFCW)radar of millimeter-wave system was improved.The simulation results show that the algorithm is effective and feasible,and the accuracy of multi-target ranging speed measurement is significantly improved.

关 键 词：毫米波雷达 步进频连续波 多目标检测 二维FFT 

分 类 号：TN958[电子电信—信号与信息处理]