摘要
提出了一种基于最小方差无失真响应(minimum variance distortionless response,MVDR)算法和频率重采样技术的适用于多频雷达信号的多普勒处理方法。在接收时,多频信号分成多个独立分量,重采样技术被创新性地用来获取更多的独立样本数,使得获取一个有效的协方差矩阵成为可能。这样,常规的利用协方差矩阵进行真实功率谱估计的MVDR方法能够用来进行目标检测和多普勒分辨。仿真结果证明,提出方法的多普勒性能显著优于传统的傅里叶分析方法。
A Doppler processing approach based on minimum variance distortionless response(MVDR) and resampling technique is proposed for multifrequency radar signals.At the receiver,the composite return is broken into multiple corresponding individual components,then the resampling technique is innovatively used to obtain much more data samples from these separated components,and thereby an effective data covariance matrix estimate can be achieved.Thus,an MVDR processing based on the data covariance matrix can be employed to accomplish target detection and achieve the Doppler high resolution.The performance is significantly superior to the traditional Fourier analysis method.Simulation results confirm the ability of the proposed approach.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2010年第3期475-477,共3页
Systems Engineering and Electronics
关键词
多普勒分辨
重采样技术
最小方差无失真响应
协方差矩阵
多频雷达信号
Doppler resolution
resampling technique
minimum variance distortionless response(MVDR)
covariance matrix
multifrequency radar signal