Improved correlation Toeplitz algorithms for covariance matrix

This paper proposes.A method of constructing correlation Toeplitz matrix structure algorithm is studied in this paper,and constructs two kinds of correlation Toeplitz matrix structure algorithms then with an improved Direction-Of-Arrival (DOA) estimator method for coherent signals based on linear equally spaced linear array are proposed.The concrete research stated below.Firstly a vector is obtained from the correlation between the output signals of each sensor and the reference sensor.The output Toeplitz matrix of the array will b e constructed from the vector by using Toeplitz matrix structure algorithms.Then we get a decoherence covariance matrix is obtained to estimating matrix and can estimate the direction of the arrival.The simulation results show that the correlation Toeplitz matrix structure algorithms gets good decoherence effect and the algorithms improve the Toeplitz approximation method to be an unbiased estimate method,it raises and that the precision of DOA estimation is notably increased and reduces the computation amount can be reduced cost of this paper's method to 1/M of the traditional Toeplitz method (M is the number of sensors in array).