Underdetermined DOA estimation of quasi-stationary signals via Khatri-Rao structure for uniform circular array
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
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Detail(s)
Original language | English |
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Pages (from-to) | 41-48 |
Journal / Publication | Signal Processing |
Volume | 106 |
Online published | 24 Jun 2014 |
Publication status | Published - Jan 2015 |
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Abstract
Underdetermined direction-of-arrival (DOA) estimation for quasi-stationary signals impinging on a uniform circular array (UCA) with M sensors is addressed in this paper. We apply the Khatri-Rao (KR) approach to the UCA and obtain a new signal model which is capable of providing O(M2) sensors. Meanwhile, the virtual steering matrix can be decomposed into a product of characteristic matrix depending on the array structure and a Vandermonde matrix bearing the DOA information. The exact number of virtual sensors that the KR-UCA model is able to provide is studied as well. Simulation results are included to demonstrate the effectiveness of the proposed method. © 2014 Elsevier B.V.
Research Area(s)
- Khatri-Rao subspace approach, Manifold separation technique, Quasi-stationary signal, Underdetermined estimation, Uniform circular array
Citation Format(s)
Underdetermined DOA estimation of quasi-stationary signals via Khatri-Rao structure for uniform circular array. / Cao, Ming-Yang; Huang, Lei; Qian, Cheng; Xue, Jia-Yin; So, H. C.
In: Signal Processing, Vol. 106, 01.2015, p. 41-48.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review