DOA estimation method in co-prime array based on iteration sparse reconstruction
A sparse reconstruction and DOA technology, applied in the field of DOA estimation based on iterative sparse reconstruction, can solve the problems of undetectable transmission power, difficulty in estimating performance, and affecting the effect of reconstruction, etc., to achieve low transmission power and improve estimation Accuracy and resolution, the effect of increasing the degree of freedom
Active Publication Date: 2016-10-12
SHANDONG AGRICULTURAL UNIVERSITY
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The invention discloses a DOA estimation method in a co-prime array based on iteration sparse reconstruction. A receiving antenna array uses a nonlinear co-prime array, through vectorized processing on a second-order statistical characteristic covariance matrix of a received signal, and a difference array in larger aperture length can be determined, so as to improve detection capability. Dispersing processing is performed on the angle domain where targets are in, targets can be regarded as sparsely distributed on grid points or near grid points, and sparse signal reconstruction problems on logarithm and forms are established. Using convex compact upper bounds of logarithm and a function, an original sparse problem is reestablished, to dynamically adjust and update discrete points of the angle domain in an iterative manner, so approach the actual arrival angle of the target.
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