Research On Fast Implementation Of Spatial Spectrum Estimation

Spatial spectrum estimation, which is one of the most important research fileds in array signal processing techniques, is widely used in communication, radar, sonar, seismic exploration and radio astronomy etc. As the most important element of the spatial spectrum estimation, the direction of arrival has developed fast, and the various algorithms of DOA have been presented for thirty years, now, spatial spectrum estimation is perfect day by day. MUSIC method, which is belonged to the eigens-structures subspace algorithm of spatial spectrum estimation, is most widely used in various areas. As is known that, the application fields of eigens-structures subspace algorithm are limited by its complexity and the hardware. With the rapid development of communication technology, it has lots of problem to be solved, such as the new method of direction of arrival estimation algorithm, how to optimize these algorithms and reduce the complexity of the algorithm and so on.This paper gives a comprehensive description about the significance of the research, and the current status of the spatial spectrum estimation and the parallel processing technology is summarized. It introduces some correlative knowledge on the array signal processing, and introduces the MUSIC method in detail. Then it researches on the MUSIC in depth, and presents the optimization method of MUSIC algorithm finally.Firstly, the optimization method of ULA、UCA and URA is given. For solving the complex number calculation problem of MUSIC, Unitary-MUSIC algorithm is used to reduce the complexity of spatial spectrum estimation.Secondly, the parallel optimization of MUSIC, to increase the rate of computation in hardware, is presented base on the UCA with the even number of the anntena.Finally, C-MUSIC algorithm and Unitary-MUSIC algorithm are achieved in Lyrtech platform. The speed-up ratio is about3.9in C-MUSIC, and that is5.8in Unitary-MUSIC. The method, which is verified by theoretical analysis and computer simulations, is feasible.