利用Gabor-PWVD变换实现进动目标微多普勒分析与仿真

为了得到微多普勒进动信号更好的时频分析结果,采用一种基于Gabor-PWVD的联合时频分析算法对进动信号进行时频分析。对进动信号进行Gabor变换和PWVD变换,得到两个数组,然后将二者点乘,当二者都存在信号项时,就可以得到点乘结果,而PWVD交叉项对应的Gabor变换区域却没有值,点乘结果为零。仿真结果表明:Gabor-PWVD联合时频分析方法在保证不含交叉项的同时,得到了聚集性较好的时频分布图。通过Hough变换对Gabor变换和Gabor-PWVD变换的时频图进行周期特征参数提取,提取值与理论值相比,误差由2%降低为1.8%,验证了Gabor-PWVD的性能优势。

Micro-Doppler Time-Frequency Analysis and Simulation on Precession Target by Gabor-PWVD Transform

In order to get better time-frequency analysis results of Micro-Doppler precession signals, this paper tries to analyze precession signals in the aspect of time-frequency through a Gabor-PWVD joint time-frequency analysis. Firstly, the method is used to get two arrays through performing Gabor transform and PWVD transform in precession signals, and make them do point multiplication. When signal items remain in both of them, the point multiplication result can be obtained. If the Gabor transform area in correspondance with the PWVD cross terms area has no value, the result of the point multiplication is zero. The simulation results show that the use of Gabor-PWVD joint time-frequency analysis method can get better time-frequency distribution without containing cross terms and have a good time-frequency clustering at the same time. Compared with the theoretical values, the periodic feature extracted by Hough transform to the Gabor and Gabor-PWVD time-frequency chart shows that the error decreases from 2% to 1.8%,and this verifies that the Gabor-PWVD is superior in performance.