在电子情报侦察和对抗领域，对复杂信号的脉内调制特征进行分析显得越来越重要。小波变换的主要特点是通过尺度从粗到细的不断变化，可以逐步聚焦到分析对象的任何细节，把对象中存在的任何变化充分的展示出来。文中研究了基于算法提取雷达信号的瞬时频率来获得信号的脉内细微特征，并针对小波脊线法存在的问题提出了改进算法，仿真了某电子对抗专用设备接收到的一批具有大时宽、带宽积的线性调频信号中频数据，仿真结果证实了改进方法的优越性。

In the electronic reconnaissance and countermeasure field, it is more and more important to analyze the in-pulse character of complicated signals. The major characteristic of wavelet transform is,by means of continuous change of scale from wide to narrow, wavelet transform can gradually focus on any detail of analyzed object. On the base of wavelet-ridge method, extracting the instantaneous frequency of radar signal to obtain signal's in-pulse small character is studied in this paper. The improved wavelet-ridge method is put forward by aiming at the shortage of wavelet-ridge method. A set of linear frequency modulation data is simulated and studied. The data is received by some electronic counter-reconnaissance equipment and have big product of time width and bandwidth, and the simulation results proved the advantages of improved wavelet-ridge method.

TN97 TP15