Experimental Studies on Doa Estimation Based on Blind Signal Separation and Array Signal Processing

In many applications, the direction-of-arrival (DOA) estimation problem is of great interest. After blind separation of the signals incident onto the receiving sensor array, the DOAs can be estimated for each source individually. Non-Gaussian signals with negative kurtosis can be automatically captured by the constant modulus (CM) array, which is the most striking blind beamforming algorithm and widely discussed. However, very little experimental studies have been conducted so far. In this paper, after proposing a new method, we analyze the DOA estimation performance of the multistage CM array via computer simulations and water tank experiments, and compare it with that of other DOA estimation algorithms including ‘non-blind’ and ‘blind’ algorithms. The multistage CM array shows better results in all considered situations.