摘要
信号脉内调制信息识别技术对密集和复杂电磁环境中辐射源的分选和识别有着重要意义。通过讨论小波变换法、伪WVD法等典型LFM信号调制特征提取方法,提出了将小波变换法和伪WVD法提取的结果进行截断综合,再提取时频图脊线的新算法。实现了在低信噪比条件下,准确提取LFM信号的调制特征。仿真结果证实了算法的可行性。
The technique of extracting in-pulse features from compression and complex condition is very important to radiant point selection and identification. Some typical methods of extracting the in-pulse features of LFM are compared, such as wavelet transformation and PWVD. Then a new method based on the colligation of wavelet transformation and PWVD is brought forward, which could extract in-pulse features from LFM in low SNR exactly. The result of the emulation experiments approves the feasibility of this method.
出处
《电子信息对抗技术》
2007年第6期12-14,61,共4页
Electronic Information Warfare Technology
基金
国防预研基金资助项目(J1442050204JB4901)
