The Direction-of-Arrival Estimation Base On The Fractional Lower Order Correlation

Array signal processing becomes one of the most significant branch of the signal processing during the past years. It is widely used and developed in telecommunication, radar, sonar, earthquake detection and radio astronomy. There are many algorithms that can have rather good results under certain circumstance. But when the DOA of the signals of interest are quite near, the MUSIC algorithm cannot distinguish them, it can not detect the signals of interest which have different frequency separately, either. The algorithm would severely degenerate in the non-Guassian noise environment which is ubiquity in nature. In short, the conventional MUSIC algorithm would have bad performance under some circumstances. This paper presents DOA algorithms base on the fractional lower order cyclic correlation which may have potential value.The research of this paper include as follow,First, it gives an introduction to the array model and DOA estimation, and it does some research and simulations on the MUSIC algorithms and ESPRIT algorithms.Second, it gives an introduction to the cyclic stationary signal. Find out the result of the Cyclic-MUSIC algorithms and Cyclic-ESPRIT algorithms. Point out the advantages of these algorithms.Third, does research on the impulsive noise in the nature. It gives the concepts and characteristics of the a stable distribution. And then the DOA estimations base on the fractional lower order cyclic correlation are presented, such as FLOCC-MUSIC algorithm and FLOCC-ESPRIT algorithm, it proves the validation of the new algorithms with the simulations.Last but not least, the simulations of wireless location is presented.