基于重排小波-Radon变换的LFM雷达信号参数估计

小波变换是一种兼顾时频分辨率的线性变换,对多分量情况不会引入交叉项。针对此问题,提出基于重排小波-Radon变换的多分量线性调频信号的参数估计法。该方法先将小波尺度图转为时频分布图,为提高聚集性引入了时频重排,再将重排图进行Radon变换以进行参数估计。对单分量和双分量的情况进行了仿真,结果表明,该方法有效提高了时频分布图的聚集性,大大节省了后续Radon变换的时间,同时也抑制了噪声干扰,辨识效果明显提高。

Parameters estimation for LFM radar signal based on reassigned wavelet-Radon transform

The wavelet transform is a linear transform which has the time-frequency resolution,and it has no cross-terms to multi-component LFM signals.This paper proposes a parameter estimating method for multi-component LFM signals based on wavelet reassignment and Radon transform.This method firstly transforms the wavelet scale into the time-frequency distribution.For improving aggregation,the reassignment is involved,and then a Radon transform is done for parameter estimation.The results of simulations for single and double LFM signals show that this method is effective to improve the aggregation of time-frequency distribution.It saves time mostly for the following Radon transform and inhibits the noise at the same time.The effectiveness is improved obviously.