Frequency hopping radar signals blind separation using tensor analysis in time domain

Recently, it is very significant task to solve the problem of frequency hopping (FH) signals in the complicated Electromagnetic environment (EME) without prior information. There are many existing methods used to solve this problem but most of them need more computation as result of sparse information and used time-frequency analysis. In this paper, an algorithm based on blind signal separation (BSS) techniques to solve the problem of FH radar signals, the difficulty and the calculations of time-frequency domain are solved by tensor decomposition. Where, the proposed algorithm, exploits tensor decomposition to deal with the blind separation problem of FH radar signals. Also this algorithm can solve the problem without using any sparseness information. The efficiency of the proposed work is tested by Signal to Interference Ratio (SIR) and Mean-Square Error (MSE), as shown in the simulated results.