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| DOA Estimation Fast Algorithm for Short Sampling Wideband Signals |
| Jin Yong Huang Jian-guo Zhang Li-jie |
| College of Marine, Northwestern Polytechnical University, Xi’an, 710072, China |
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Abstract Approximated Maximum Likelihood (AML) estimator has been shown to be the best performance in short sampling wideband sources DOA estimation. However, the computation burden of AML is very large. In order to resolve the question of computation burden, Markov Monte Carlo methods are combined with Approximated Maximum Likelihood DOA estimator. A novel Approximated Maximum Likelihood DOA Estimator based on Gibbs Sampling (AMLGS) is proposed. AMLGS not only keeps the excellent performance of the original AML, but also reduces the computation greatly, from the computational complexity O(LK) of original method to O(K×J×Ns).
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Received: 09 April 2007
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Corresponding Authors:
Jin Yong
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2008, Vol. 30 
