DOA Estimation Fast Algorithm for Short Sampling Wideband Signals

Jin  Yong; Huang  Jian-Guo; Zhang  Li-Jie

doi:10.3724/SP.J.1146.2007.00550

Volume 30 Issue 10

Jan. 2011

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Jin Yong, Huang Jian-Guo, Zhang Li-Jie. DOA Estimation Fast Algorithm for Short Sampling Wideband Signals[J]. Journal of Electronics & Information Technology, 2008, 30(10): 2525-2528. doi: 10.3724/SP.J.1146.2007.00550

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Jin Yong, Huang Jian-Guo, Zhang Li-Jie. DOA Estimation Fast Algorithm for Short Sampling Wideband Signals[J]. Journal of Electronics & Information Technology, 2008, 30(10): 2525-2528. doi: 10.3724/SP.J.1146.2007.00550

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DOA Estimation Fast Algorithm for Short Sampling Wideband Signals

doi: 10.3724/SP.J.1146.2007.00550

Received Date: 2007-04-09
Rev Recd Date: 2007-11-09
Publish Date: 2008-10-19

Abstract

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 complexityO(LK) of original method to O(KJNs).
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References(1)

References

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