| Spatial spectrum estimation technology is important in the field of array signal processing and mainly used for analyzing spatial signal. Because of its high resolution and high accuracy, it has extensive application and vast prospect in array processing, such as radar, sonar and so on.Data fusion is the technology that synthesizes various academic subjects, it can process data comprehensively, and particularly in the field of multi-sensor array it can make full use of the limited data resources. This is an important function in modern information war; therefore, various countries think highly of this technology in recent years.This thesis based on the characteristics of multi-sensor data fusion, joins data fusion technology and spatial spectrum estimation technology, and applies them to spatial signal processing. First this thesis studies the basic principles of four kinds of typical algorithms used for directions estimation in underwater signal spatial spectrum estimation. By MATLAB software, four kinds of typical algorithms is simulated, analyzed and compared according to different parameter conditions. In addition, the weighted fusion method is designed, and the four kinds of typical algorithms are fused by the least square weighted fusion method. Simulations for variety parameters conditions are described in this thesis. With the concept of feedback, the way to improve the effect of the least square weighted fusion is put forwards. Then, the thesis suggests reallocating weight value of each algorithm further according to evidential theory fusion method, and corresponding simulation is completed. Finally verification for the fusion algorithms is done using the sea trial data after the simulation analysis. |
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