Smart Antenna Signal Processing

The main researches of this dissertation are the typical eigen-structure subspace algorithms for smart antenna. It also simply studies how to reduce the computation of adaptive beam-forming algorithms. Based on the basic theories and performances of the eigen-structure subspace algorithms, the disadvantages of this kind of algorithms are further analyzed and the improved methods are presented. For the method of distributed source DOA estimation under the multipath condition, the corresponding errors are corrected and the theoretical reasons of the performance shortage are pointed out. With respect to the two-dimension DOA estimation, it demonstrates the shortages of several antenna arrays and proposes the ways to improve the system performances. After studying the computation of the adaptive beam-forming algorithms, a modified method with lower computational complexity is put forward. The research tool of the software MATLAB is used to validate the feasibility of the above related algorithms. From the dissertation, it is noted that smart antenna can effectively deal with mobile communication signals such as coherent signals, non-Gaussian signals and multipath signals, etc.