Adaptive Zero Algorithm and Implementation Method of Phased Array Radar

In this paper, a real-time implementation method of matrix eigenvalue decomposition with high dimension by analyzing several common implementation methods of matrix eigenvalue decomposition is designed, so as to solve the problem of real- time application of adaptive zero algorithm based on high dimension matrix in phased array radar. Jacobi iteration is used to realize matrix eigenvalue decomposition, which uses FPGA+DSP classic processing architecture that takes advantage of FPGA full parallel pipeline processing and DSP easy programming device advantages, and the implementation, real-time performance and processing accuracy of the adaptive zero algorithm are improved greatly , hardware resource cost is saved effectively.