A Method of Radar Signal Separation
Youqian Feng, Shanwen Zhang, Zhengchao Li · Computational Intelligence and Security · 2007
Radar signal separation is an important link in the chain of information processing for air-defense, which is the process of extracting unknown independent radar signals from unknown sensor measurements. Sometimes, the source signals and the method of combination are unknown, and hence the problem is related to the problems of blind deconvolution and blind equalization. Blind signal separation is sometimes referred to as independent component analysis, as it generalizes principal component analysis to produce independent signals rather than simply uncorrelated signals. Based on the frequency localization of Morlet wavelet and genetic algorithm, this paper presents a method of radar signal separation. Some examples are given. The results of separation demonstrated this method is effective and low sensitivity to noise.