Exploiting brisk transmit waveforms and elaborate array configuration

multiple-input-multiple-output (MIMO) radar system has significant advantages in weak-target detection and high-resolution parameter estimation.In this paper

a mathematical model is established for interception

reconnaissance and identification of MIMO radar signals.By using maximum likelihood estimation and alternating projection

an algorithm which makes use of the constant modulus property of the radar signals is proposed for blind separation of MIMO radar signals.Both theoretical and numerical results are provided to demonstrate the performance of the proposed algorithm.It is shown that

if the signal to noise ratio (SNR) is higher than 0dB

the proposed algorithm can achieve a satisfactory separation performance and the correlations of the separated signals with the original signals are very high.Moreover

the proposed algorithm significantly outperforms the existing non-circular complex fast independent component analysis (NC-Fast ICA) algorithm.