Estimation of DOA for moving platform vector hydrophone array based on linear prediction and ETAM algorithm

Abstract

The application belongs to the field of underwater target direction estimation, and combines a linear prediction algorithm with an ETAM algorithm of a vector hydrophone array to estimate the direction of an underwater target. Specifically, the application comprises the following steps: 1) constructing a data matrix of a virtual array after synthetic aperture by using the principle of the ETAM algorithm of the vector hydrophone array; 2) performing high-order linear prediction to solve forward and backward linear prediction coefficient vectors of the matrix; 3) extending the virtual array by k elements to the right or to the left; and 4) performing direction estimation on a signal matrix received by the extended virtual array in the previous step by using a conventional beam forming algorithm of the vector hydrophone array to obtain the target angle. The DOA estimation method of the moving platform vector hydrophone array based on the linear prediction and the ETAM algorithm can realize target direction estimation under the condition of lower signal-to-noise ratio and fewer array elements, and improves the target direction estimation precision and resolution of the underwater moving array.

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