摘要
雷达信号频率参数的测量结果决定了测速雷达的精度。介绍了两种频率估计方法,并应用FFT、MUSIC和ESPRIT算法对高斯白噪声下的多普勒速度进行了估计。通过结果分析,比较了在不同条件下,几种算法的估计精度。结果表明,在信号一定信噪比条件下,采用MUSIC、ESPRIT算法能够实现高精度频率估计。
The measurement result of radar signal frequency decides the precision of speed radar.This paper mainly introduces two methods of frequency estimation,and estimates the Doppler velocity in white gauss noise using FFT,MUSIC and ESPRIT algorithms.By Matlab simulation,it compares the estimating precision of the three algorithms under different conditions.The result indicates that MUSIC and ESPRIT algorithms can achieve high precision of frequency estimation at a certain SN ratio.
出处
《电子科技》
2011年第11期109-111,127,共4页
Electronic Science and Technology
关键词
工程实现
多信号分类频率估计法(MUSIC)
子空间旋转不变频率估计法
频谱估计
engineering design
multiple signal classification(MUSIC)
estimating signal parameter via rotational invariance techniques(ESPRIT)
spectrum estimation