Broadband DOA estimation based on an improved MUSIC algorithm

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Journal of Nanjing University(Natural Sciences) ›› 2016, Vol. 52 ›› Issue (5) : 932.

Zhang Taotao，Zhang Xinggan*

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Abstract

The traditional DOA estimation algorithm for narrowband arrays is sensitivity to the signal bandwidth，its performance declines while the bandwidth becomes larger.This paper uses coherent signalsubspace method(CMS)to study on the DOA estimation for broadband signals.The coherent signalsubspace method(CMS)maps the signal subspaces of different frequencies to the same reference frequency by constructing the focusing matrix.The result of broadband DOA estimation can then be approximated by a narrow band model in the frequency domain.The traditional MUSIC algorithm has been widely used in narrowband DOA estimation because it offers a good tradeoff between performance and complexity.Its statistical performance has mainly been characterized in the case where the number of snapshots converges to positive infinity while the number of antennas remains fixed.In practical，the corresponding conclusion is valid only when the number of snapshots is much larger than that of antennas in finite sample size.However，the number of antennas is large in practical and the number of available snapshots is limited.When both the number of antennas and that of snapshots converge to positive infinity at the same rate，the DOA estimators of MUSIC algorithm will be asymptotically biased.In this paper，SpikeMUSIC algorithm is applied to CSMto improve the accuracy of DOA estimation for broadband signals，the error of DOA estimation is simulated under different signal to noise ratios，the simulation experiments show that when compared to CSM，the improved CSM based on SpikeMUSIC algorithm can estimate DOA with higher accuracy.

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Zhang Taotao，Zhang Xinggan*. Broadband DOA estimation based on an improved MUSIC algorithm[J]. Journal of Nanjing University(Natural Sciences), 2016, 52(5): 932

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