Sorting of radar signals based on FastICA algorithm and wavelet transfer
Tong Sha · Modern Electronics Technique · 2013
It′s hard to sort the noisy mixed radar signals, for the traditional ICA algorithm is sensitive to noise. Aiming at this problem, an advanced algorithm is proposed, which is in combination with FastICA algorithm and wavelet denoising. The new algorithm denoises the radar signals with the wavelet threshold method first, then after the SNR increased, the radar signal is separated through FastICA algorithm, finally the separated signal is post-processed, then the estimated source radar signals are obtained. The simulation result shows that compared with the traditional ICA, the new algorithm can effectively denoise the signal and improve the accuracy of radar signals sorting.