基于FRFT的LFM信号检测与参数估计  

Detection and Parameter Estimation for LFM Signal Based on Fractional Fourier Transform

作　　者：吴燕军[1] 王华力[2] 孙磊[1] 蒋岩[3] 

机构地区：[1]解放军理工大学通信工程学院研究生3队 [2]解放军理工大学通信工程学院 [3]中国人民解放军61769部队

出　　处：《军事通信技术》2012年第4期53-57,72,共6页Journal of Military Communications Technology

摘　　要：目标运动使雷达回波表现为初始频率和调频率参数均为未知的线性调频(LFM)信号,精确且快速地检测和估计出未知参数的LFM信号是雷达信号处理的主要工作。文章利用LFM信号在特定阶数的FRFT域呈现出能量聚集特性,介绍了基于FRFT的二维峰值搜索、模最大值两步搜索和预判法三种LFM信号检测与参数估计算法。通过在高斯白噪声背景下对三种算法的仿真进行分析、比较,结果表明:在低信噪比条件下,基于FRFT模最大值两步搜索算法估计精度高,计算量较小,为工程应用提供可能。Due to the motion of a target, rader return signal is usually Linear Frequency modulated （LFM） signal with unknown frequency and unknown frequency modulated rate. The detection and estimation of the unknown parameter is the main task in radar signal processing. So this paper took advantage of the energy concentration property of LFM signal in the fractional Fourier transform domain, and introduced three algorithms of detection and estimation of LFM signal ： 2D peak searching algorithm, two steps searching of maximum value algorithm and pre-es- timation algorithm. The detection and parameter estimation in the background of AWGN were simulated for these three algorithms. The simulation resuhs indicate that the two steps searching algorithm of maximum value based on FRFT take on nice estimation accuracy and low computation complexity at low SNR, providing possibility for engineering application.

关 键 词：分数阶傅里叶变换 线性调频信号 检测与参数估计 

分 类 号：TN911.7[电子电信—通信与信息系统]