A DOA Matrix Algorithm for 2-D Direction Finding Estimation with Electromagnetic Vector Sensor Arrays

Ji Fei; Yu Hua; Xie Ze-ming; Zhang Jun; Zhu Yi-cheng

doi:10.3724/SP.J.1146.2007.01420

Volume 30 Issue 8

Jan. 2011

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Article Navigation > Journal of Electronics & Information Technology > 2008 > 30(8): 1886-1889

Ji Fei, Yu Hua, Xie Ze-ming, Zhang Jun, Zhu Yi-cheng. A DOA Matrix Algorithm for 2-D Direction Finding Estimation with Electromagnetic Vector Sensor Arrays[J]. Journal of Electronics & Information Technology, 2008, 30(8): 1886-1889. doi: 10.3724/SP.J.1146.2007.01420

Citation:

Ji Fei, Yu Hua, Xie Ze-ming, Zhang Jun, Zhu Yi-cheng. A DOA Matrix Algorithm for 2-D Direction Finding Estimation with Electromagnetic Vector Sensor Arrays[J]. Journal of Electronics & Information Technology, 2008, 30(8): 1886-1889. doi: 10.3724/SP.J.1146.2007.01420

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A DOA Matrix Algorithm for 2-D Direction Finding Estimation with Electromagnetic Vector Sensor Arrays

doi: 10.3724/SP.J.1146.2007.01420

Received Date: 2007-09-06
Rev Recd Date: 2008-04-25
Publish Date: 2008-08-19

Abstract

Abstract

DOA-matrix method is one of eigenstructure-based algorithms dealing with the estimation of the 2-D Direction-Of-Arrival(DOA) for multiple narrowband sources. In this paper, the DOA-matrix subspace method is extended for DOA estimation with an array of electromagnetic vector sensors. The detailed algorithm is deduced and the algorithm computational complexity is analyzed. Compared with ESPRIT method, this method can decrease much computational complexity. Monte Carlo simulation results show that the RMS bias and the RMS standard deviation from DOA-matrix method are larger than that from ESPRIT method. The DOA-matrix method also needed more snapshots in the simulation.

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References

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