Joint cross-covariance matrix based fast direction of arrival estimation

被引：2

作者：

Yan F. ^{[1
]}

Rong J. ^{[1
]}

Liu S. ^{[1
]}

Shen Y. ^{[2
]}

Jin M. ^{[1
]}

机构：

[1] School of Information and Electrical Engineering, Harbin Institute of Technology, Weihai

[2] School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin

来源：

| 2018年 / Chinese Institute of Electronics卷 / 40期

关键词：

Array signal processing; Direction-of-arrival (DOA) estimation; Joint cross-covariance matrix (JCCM); Subspace decomposition;

D O I：

10.3969/j.issn.1001-506X.2018.04.03

中图分类号：

学科分类号：

摘要：

For the sake of reducing computation complexity caused by the subspace decomposition step in most of the state-of-the-art subspace-based algorithms for direction-of-arrival (DOA) estimation, a joint cross-covariance matrix (JCCM) based algorithm is proposed using a uniform linear array (ULA). Based on the ideas of array division and matrix remodeling, the ULA is divided into two sub-arrays, and two cross-covariance matrices are computed by the received datum of the two sub-arrays, with which a JCCM matrix is further reconstructed. Combing those three matrices, an equivalent signal subspace is found by conducting some low-complexity linear operations, and a polynomial is finally constructed to estimate source DOA without subspace decomposition. Theoretical analysis and simulation results show that the proposed technique can provide acceptable performances with the computational complexity effectively reduced and the faster estimation speed achieved. © 2018, Editorial Office of Systems Engineering and Electronics. All right reserved.

引用

页码：733 / 738

页数：5

共 18 条

[1] Wang X., Wang L., Li X., Et al., An efficient sparse representation algorithm for DOA estimation in MIMO radar system, Proc. of the IEEE International Workshop on Signal Processing Advances in Wireless Communications, pp. 1-4, (2016)
[2] Liu L., Liu H., Joint estimation of DOA and TDOA of multiple reflections in mobile communications, IEEE Access, 4, pp. 3815-3823, (2016)
[3] Saucan A.A., Chonavel T., Sintes C., Et al., CPHD-DOA tracking of multiple extended sonar targets in impulsive environments, IEEE Trans. zon Signal Processing, 64, 5, pp. 1147-1160, (2016)
[4] Yan G., Li G., Ning L., Method on fast DOA estimation of moving nodes in ad-hoc network, Proc. of the IEEE International Symposium on Communications and Information Technology, pp. 1169-1172, (2006)
[5] Levanda R., Leshem A., Adaptive selective sidelobe canceller beamformer with applications to interference mitigation in radio astronomy, IEEE Trans. on Signal Processing, 61, 20, pp. 5063-5074, (2013)
[6] Santosh S., Sharma K., A review on multiple emitter location and signal parameter estimation, International Journal of Engineering Research, 2, 3, pp. 276-280, (2013)
[7] Yan F.G., Jin M., Liu S., Et al., Real-valued music for efficient direction estimation with arbitrary array geometries, IEEE Trans. on Signal Processing, 62, 6, pp. 1548-1560, (2014)
[8] Basikolo T., Arai H., APRD-MUSIC algorithm DOA estimation for reactance based uniform circular array, IEEE Trans. on Antennas & Propagation, 64, 10, pp. 4415-4422, (2016)
[9] Yan F.G., Zhang W., Jin M., A new method for setting and updating the initiation of root-MUSIC, Journal of Harbin Institute of Technology, 47, 3, pp. 88-92, (2015)
[10] Roy R., Paulraj A., Kailath T., ESPRIT: a subspace rotation approach to estimation of parameters of cissoids in noise, IEEE Trans. on Acoustics, Speech, and Signal Processing, 34, 5, pp. 1340-1342, (1986)

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