Study on New DOA Estimation Method based-on ULA Under Gaussian Noise
Dezhi Niu, Changxing Chen, Zhuo Wang, Yanming Zhao, Hui Fu · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2013
The DOA (Direction of Arrival) estimation problem ULA (uniform linear array) was studied, and one new LS-ICA method was proposed based on ULA (uniform linear array) under Gaussian noise, which was filtered during signals separation by ICA.With strict mathematic reasoning, steps of the new DOA estimation method were given.The simulation results showed that the proposed method was more superior to one of MUSIC (M ultiple Signal Classification), especially in degree distinguishing capacity and short data length aspects.In the case of simulation parameters of paper, it was 4 times than M USIC method in degree distinguishing capacity and one tenth in effective data length, which proved method of LS-ICA for DOA estimation was feasible and reliable.Also it provided one new thought for array signals processing and DOA problem.