摘要
文章就低信噪比雷达辐射源信号分选问题提出一种结合FastICA和小波去噪方法的改进算法，通过仿真实验表明新算法能够有效提高信噪比，增强了信号的可识别性。文中还就算法的实现顺序分别进行了实验，并将其结果分别与FastlCA算法作了比较，证实新算法比FastICA算法性能更优越。最后，文中给出经过新算法分选后的信号能量损失比并给出相应分析。
In this paper, an advanced algorithm which cooperated FastICA method and wavelet denoising method is proposed for low SNR radar emitter signals sorting. Simulation result shows this algorittun can improve signals SNR effectively and can increase signals identification. The realization sequences of this algorithm are tested and the result is compared with FastICA method, and it is demonstrated that the new algorithm has better performance. At last, the new method＇ s signal energy loss ratios are given and the results are analyzed.
出处
《电子对抗》
2008年第6期22-26,共5页
Electronic Warfare
