FOCMLAD算法:未知相关杂噪下的MMW-FMCW雷达的角度估计  

FOCMLAD approach:angle estimation for MMW-FMCW radar under unknown correlated clutter noise

作　　者：毛喻仟 盛继松 张连江 王强 Mao Yuqian;Sheng Jisong;Zhang Lianjiang;Wang Qiang(The Eighth Research Academy Institute of China State Shipbuilding Corporation Limited(CSSC),Yangzhou 225002,China)

机构地区：[1]中国船舶集团有限公司第八研究院,江苏扬州225002

出　　处：《电子技术应用》2025年第4期97-100,共4页Application of Electronic Technique

摘　　要：针对毫米波(MMW)FMCW雷达在时空相关杂噪下提出了一种基于四阶累积量(FOC)的MUSIC和LAD角度估计算法(FOCMLAD)。基于FOC的MUSIC方法用于解析和重构中频(IF)信号。然后,将每个传感器的信号表达式视为一个独立的回归形式,并使用LAD估计来获得目标角度。该算法有效地抑制了相关杂噪。FOCMLAD算法结合使用LAD方法来抵消相关杂噪的非高斯性,并减轻了相关杂噪的时域相关性的不利影响。实验结果验证了FOCMLAD算法有效地抑制了相关杂噪干扰。In this manuscript,an angle estimation algorithm based on FOC-based MUSIC and LAD(FOCMLAD)is presented for millimeter wave(MMW)FMCW radar under spatially and temporally correlative clutter noise.The FOC-based MUSIC method is used to resolve and reconstruct the intermediate frequency(IF)signal.Then,it regards every sensor's signal expression as an independent regression form and uses LAD to achieve the angle.This algorithm effectively suppresses the correlative clutter-noise.The FOCMLAD algorithm mitigates the adverse effects of temporal correlation in correlative clutter-noise by incorporating the FOC-based MUSIC method and employing LAD to counteract its non-Gaussian nature.The FOCMLAD algorithm effectively suppresses the correlative clutter-noise's spatial correlation,as the clutter-noise distribution remains consistent across sensors regardless of spatial correlation.This effectiveness is validated through experimental results.

关 键 词：角度 四阶累积量 MUSIC MMW-FMCW雷达 相关杂噪 LAD估计 

分 类 号：TN957[电子电信—信号与信息处理]