Research Of Super-resolution DOA Estimation Algorithm Of Wideband Signal

As the main means of spatial signal processing, array signal processing technique develops rapidly, especially the signal DOA estimation. So far, the super-resolution DOA estimation algorithm about narrow-band signals is relatively mature, however, wideband signal processing is in need of further enhancing its estimation.This dissertation is devoted to the study of the super-resolution DOA estimation about the wideband signals.At first, the classic super-resolution DOA estimation algorithms are discussed, including MUSIC algorithm and ESPRIT algorithm. The dissertation has an in-depth discussion about the sub-space algorithm from theoretical analysis and computer simulation, and analyzes the performance of the two algorithms. By the comparison of the simulation results about the two algorithms, it concludes the advantages and disadvantages of the various algorithms. Then, the spatial spectrum algorithm specifically about wideband signal had been researched, including ISM algorithm and CSM algorithm. The dissertation has an in-depth discussion on the principle of the algorithm theoretically. The main problem is the focusing matrix construction of the algorithm. The dissertation has a detailed analysis about it through computer simulation. Several focusing matrices structure methods are presented. Through the computer simulation result, it has proved this kind of focusing method is valid.