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| DOA Estimation Based on Online Music Algorithm |
| Cao Xiang-hai Liu Hong-wei Wu Shun-jun |
| National Lab of Radar Signal Processing, Xidian Uinv, Xi’an 710071, China |
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Abstract Based on CCIPCA algorithm in pattern recognition, a low complexity online Music method is presented firstly. It does not need to form the sample covariance matrix or compute its eigenvectors and the estimation of signal subspace begins after the first snap being received, this means the subspace estimation and the data receiving is simultaneous, and the current snap is the only data need to be stored. Then, the data is used repetitiously to improve subspace’s estimation performance when few snap is available. Finally, experiments based simulated data demonstrate the efficiency of the presented algorithm.
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Received: 13 April 2007
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Corresponding Authors:
Cao Xiang-hai
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2008, Vol. 30 
