Research Of Spatial Spectrum Estimation Algorithm Based On MUSIC

Spatial spectrum is an important conception in array signal processing, and it shows signal energy distribution of every direction in the space. If signal spatial spectrum can be got, signal Direction-of-Arrival (DOA) can be also got. Therefore, spatial spectrum estimation technology has differentiation capability of spatial signal, it can break through and more improve differentiation capability of signal coming from different direction within a beamforming width.Linear array and circular array are the two commonest types in adaptive antenna arrays. This thesis has compared pattern synthesis between linear array and circular array, and analyzed in detail the characteristic of linear array and circular array. Based on the linear array this thesis has analyzed application area and performance of several spatial spectrum estimation algorithms. Simulation and analysis have been performed on these algorithms application in linear array and circular array.In this thesis the main work includes:1. Pattern synthesis functions of linear array and circular array are deduced. According to the simulation results, performance and characteristic of linear array and circular array are analyzed and compared.2. MPI algorithm has been analyzed and researched, this algorithm is applied in linear array signal processing, and then using MPI algorithm circular array has been converted to suppositional uniform linear array so as to form pattern synthesis of suppositional linear array. With the help of the simulation results it can be seen this algorithm can form adaptive peak value at the signal position and improve the differentiation capability of signal.3. The applications of the classical MUSIC algorithm,the extract MUSIC algorithm,based on beamforming space MUSIC algorithm and based on concerned dispel MUSIC algorithm in linear array have been separately discussed, and simulation experiments have been performed on the above-mentioned MUSIC algorithms. By analyzing simulation diagrams it can be concluded the MUSIC algorithm has more better differentiation capability,estimation precision and stability.