A Novel DOA estimation Algorithm Based on Eigen Space
Zhang Xiaofei, Lv Wen, Shi Ying, Zhao Ruina, Dazhuan Xu · 2007
Based on the investigation to classical DOA algorithm (MUSIC and improved MUSIC), a novel DOA estimation algorithm is proposed which makes full use of signal subspace and noise subspace characteristics. The algorithm can achieve not only DOA estimation but also information source power estimation. The simulation result reveals that the performance of DOA algorithm is better than that of MUSIC and improved MUSIC. In the conditions of coherent sources and small snapshot as well as low SNR, the algorithm can still present a favorable DOA estimation performance. Besides, the complexity of this algorithm is not high, and it is easy to carry out. So the algorithm is predominant and robust.