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| DOA Estimation Algorithm Base on Analytical Solution of Noise Subspace |
| Ai Ming-shun①②; Ma Hong-guang①; Liu Gang② |
| ①The Second Artillery Engineering College, Xi’an 710025, China; ②National Information Control Laboratory, Chengdu 610036, China |
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Abstract For a special signal environment, where all of the sources have identical nonzero mean values, taking advantages of the Vandermonde structured steering vector of the uniform linear antenna array, an analytical solution of null-subspace is educed in this paper. Based on the solution, both of one-dimensional signal Direction Of Arrival (DOA) estimation algorithm with uniform linear array and two-dimensional signal DOA estimation algorithm with sparse planar array are proposed. The algorithm does not involve the covariance matrix calculation and any matrix decomposition, so it is much computational saved than the conventional super-resolution DOA estimation algorithms. Beside that, the novel method works well either the signal sources are coherence or not. The simulation shows that the novel algorithm possesses the same performance with Root-MUSIC algorithm as the whole when the mean value of the noise is zero and the number of snapshots is enough, and it performs better than Root-Music when the Signal Noise Ratio (SNR) is lower.
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Received: 10 April 2009
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Corresponding Authors:
Ai Ming-shun
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2010, Vol. 32 
