A Method of Estimation DOA for Non-uniform Linear Array

Shao  Hua; Su Wei-Min; Gu  Hong

doi:10.3724/SP.J.1146.2010.00337

Volume 33 Issue 1

Feb. 2011

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Article Navigation > Journal of Electronics & Information Technology > 2011 > 33(1): 95-99

Shao Hua, Su Wei-Min, Gu Hong. A Method of Estimation DOA for Non-uniform Linear Array[J]. Journal of Electronics & Information Technology, 2011, 33(1): 95-99. doi: 10.3724/SP.J.1146.2010.00337

Citation:

Shao Hua, Su Wei-Min, Gu Hong. A Method of Estimation DOA for Non-uniform Linear Array[J]. Journal of Electronics & Information Technology, 2011, 33(1): 95-99. doi: 10.3724/SP.J.1146.2010.00337

Shao Hua, Su Wei-Min, Gu Hong. A Method of Estimation DOA for Non-uniform Linear Array[J]. Journal of Electronics & Information Technology, 2011, 33(1): 95-99. doi: 10.3724/SP.J.1146.2010.00337

Citation:

Shao Hua, Su Wei-Min, Gu Hong. A Method of Estimation DOA for Non-uniform Linear Array[J]. Journal of Electronics & Information Technology, 2011, 33(1): 95-99. doi: 10.3724/SP.J.1146.2010.00337

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A Method of Estimation DOA for Non-uniform Linear Array

doi: 10.3724/SP.J.1146.2010.00337

Shao Hua^{* 苏卫民顾红
,},
Su Wei-Min,
Gu Hong

Received Date: 2010-04-01
Rev Recd Date: 2010-07-09
Publish Date: 2011-01-19

Abstract

Abstract

A fourth-order cumulant-based DOA estimation method is presented, considering contradictions between direction finding precision and phase ambiguity in using non-uniform linear array to estimate the Direction Of Arrival (DOA). The new algorithm uses baseline ratio to solve ambiguity, and the constrain that the length of the displacement vectors joining the reference sensors must be less than half-wavelength of the signal is not need, thus accuracy of direction finding is effectively improved. According to the tripartite relationship among steering vector, the eigenvalues of the cumulant matrices and the eigenvectors corresponding to the eigenvalues, the phase differences of each baselines and the signals are automatically paired in the algorithm. The performance of the algorithm is effectively demonstrated with simulation.
- Estimation of DOA,
- Fourth-order cumulant,
- Non-uniform array,
- VESPA (Virtual-ESPRIT Algorithm),
- Modulo conversion

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References(1)

References

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