Array Gain And Phase Calibration Mothed Study Based On The Spatio-temporal Matrixes Information

Under ideal conditions array signal processing in a multi-channel system is with good performance. However, the actual existence of systematic errors often leads to a serious deterioration in algorithm estimated performance or system output. The array calibration methods are studied in the dissertation to the point .A new array calibration method is raised based on analysis such methods which have been presented before.First, the established array signal error model and several array calibration algorithms are presented. Then, for the methods introduced above ,they can be only use in the condition which the array error does not vary with DOA, and the high-order statistics method effective in that condition has high calculate complexity .A novel method for array calibration is proposed with the linear array (ULA). Base on the biorthogonality between a matrix and its Moore-Penrose pseudo-inverse, the method exploits the structural information of a set of spatio-temporal correlation matrixes, and gives a robust and precise estimation of signal subspace, and then according to the array manifold separates the array error, repeat this approach until it gets all different array errors. Last, the dissertation introduces the common methods of anti-jamming and uses the array calibration above to the anti-jamming algorithm which make the performance improved to some extent.