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Mixed rectilinear sources localization under unknown mutual coupling

Title:

Mixed rectilinear sources localization under unknown mutual coupling

Chen, Hua, Liu, Wei, Zhu, Wei-Ping ORCID: https://orcid.org/0000-0001-7955-7044, Swamy, M.N.S. and Wang, Qing (2019) Mixed rectilinear sources localization under unknown mutual coupling. Journal of the Franklin Institute . ISSN 00160032 (In Press)

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Mixed-Rectilinear-Sources-Localization-Under-Unk_2019_Journal-of-the-Frankli.pdf - Accepted Version
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Official URL: http://dx.doi.org/10.1016/j.jfranklin.2019.01.019

Abstract

In this paper, a novel rectilinearity-based localization method for mixed near-field (NF) and far-field (FF) sources is proposed under unknown mutual coupling. The multiple parameters including direction of arrival (DOA), range and mutual coupling coefficient (MCC) are decoupled, thus only three one-dimensional (1-D) spectral searches are required to estimate the parameters of mixed rectilinear signals successively. Furthermore, the closed-form deterministic Cramer–Rao bound (CRB) of the concerned problem is also derived. Simulation results are provided to demonstrate the effectiveness of the proposed method for the classification and localization of mixed rectilinear sources.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering
Item Type:Article
Refereed:Yes
Authors:Chen, Hua and Liu, Wei and Zhu, Wei-Ping and Swamy, M.N.S. and Wang, Qing
Journal or Publication:Journal of the Franklin Institute
Date:16 January 2019
Funders:
  • Zhejiang Provincial Natural Science Foundation of China under Grant LQ19F010002
  • Natural Science Foundation of Ningbo Municipality under Grant no. 2018A610094
  • National Natural Science Foundation of China under Grant nos. 61628101, 61871282 and 6157125
  • K.C.Wong Magna Fund in Ningbo University
Digital Object Identifier (DOI):10.1016/j.jfranklin.2019.01.019
ID Code:984962
Deposited By: MONIQUE LANE
Deposited On:31 Jan 2019 17:09
Last Modified:31 Jan 2019 17:09

References:

H. Krim, M. Viberg Two decades of array signal processing research: the parametric approach IEEE Signal Process. Mag., 13 (4) (1996), pp. 67-94

R.O. Schmidt Multiple emitter location and signal parameter estimation IEEE Trans. Antennas Propag., 34 (3) (1986), pp. 276-280

Zhou C., Gu Y., Shi Z., Zhang Y.D. Off-grid direction-of-arrival estimation using coprime array interpolation IEEE Signal Process. Lett., 25 (11) (2018), pp. 1710-1714

Zhang X.F., Xu L.Y., Xu L., Xu D.Z. Direction of departure (DOD) and direction of arrival (DOA) estimation in MIMO radar with reduced-dimension MUSIC IEEE Commun. Lett., 14 (12) (2010), pp. 1161-1163

Shen Q., Liu W., Cui W., Wu S.L., Zhang Y.M., M. Amin Low-complexity direction-of-arrival estimation based on wideband co-prime arrays IEEE Trans. Audio Speech Lang. Process., 23 (9) (2015), pp. 1445-1456

Wu X., Zhu W.P., Yan J. A Toeplitz covariance matrix reconstruction approach for direction-of-arrival estimation IEEE Trans. Veh. Technol., 66 (9) (2017), pp. 8223-8237

Gu J.F., Zhu W.P., M.N.S. Swamy Direction of arrival tracking for signals with known waveforms based on block least squares techniques J. Frankl. Inst., 354 (11) (2017), pp. 4573-4594

Zhou C., Gu Y., Fan X., Shi Z., Mao G., Zhang Y.D. Direction-of-arrival estimation for coprime array via virtual array interpolation IEEE Trans. Signal Process., 66 (22) (2018), pp. 5956-5971

Zhang X.F., Chen W.Y., Zheng W., et al. Localization of near-field sources: a reduced-dimension MUSIC algorithm IEEE Commun. Lett., 22 (7) (2018), pp. 1422-1425

Wu Y., So H.C., Li J. Passive localization of near-field sources with a polarization sensitive array IEEE Trans. Antenna Propag., 55 (8) (2007), pp. 2402-2408

Tao J.W., Liu L., Lin Z.Y. Joint DOA, range, and polarization estimation in the fresnel region IEEE Trans. Aerosp. Electron. Syst., 47 (4) (2011), pp. 2657-2672

He J., M.O. Ahmad, M.N.S. Swamy Near-field localization of partially polarized sources with a cross-dipole array IEEE Trans. Aerosp. Electron. Syst., 49 (2) (2013), pp. 857-870

E. Grosicki, K. Abed-Meraim, Hua Y. A weighted linear prediction method for near-field source localization IEEE Trans. Signal Process., 53 (10) (2005), pp. 3651-3660

Zhi W., Chia M.Y.W. Near-field source localization via symmetric subarrays IEEE Signal Process. Lett., 14 (6) (2007), pp. 409-412

Liang J., Liu D. Passive localization of mixed near-field and far-field sources using two-stage MUSIC algorithm IEEE Trans. Signal Process., 58 (1) (2010), pp. 108-120

Wang B., Liu J., Sun X. Mixed sources localization based on sparse signal reconstruction IEEE Signal Process. Lett., 19 (8) (2012), pp. 487-490

Tian Y., Lian Q.S., Xu H. Mixed near-field and far-field source localization utilizing symmetric nested array Digit. Signal Process., 73 (2018), pp. 16-23

Zheng Z., Sun J., Wang W.Q., et al. Classification and localization of mixed near-field and far-field sources using mixed-order statistics Signal Process., 143 (2018), pp. 134-139

Wang B., Zhao Y., Liu J. Mixed-order MUSIC algorithm for localization of far-field and near-field sources IEEE Signal Process. Lett., 20 (4) (2013), pp. 311-314

Zheng Z., Fu M., Wang W.Q., et al. Mixed far-field and near-field source localization based on subarray cross-cumulant Signal Process., 150 (2018), pp. 51-56

He J., M.N.S. Swany, M.O. Ahmad Efficient application of MUSIC algorithm under the coexistence of far-field and near-field sources IEEE Trans. Signal Process., 60 (4) (2012), pp. 2066-2070

Zuo W., Xin J., Wang J., Zheng N., A. Sano A computationally efficient source localization method for a mixture of near-field and far-field narrowband signals Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Florence (2014), pp. 2257-2261

Liu G., Sun X. Spatial differencing method for mixed far-field and near-field sources localization IEEE Signal Process. Lett., 21 (11) (2014), pp. 1331-1335

Liao B., Zhang Z.G., Chan S.C. DOA estimation and tracking of ULAs with mutual coupling IEEE Trans. Aerosp. Electron. Syst., 48 (1) (2012), pp. 891-905

Ye Z., Dai J., Xu X., Wu X. DOA estimation for uniform linear array with mutual coupling IEEE Trans. Aerosp. Electron. Syst., 45 (1) (2009), pp. 280-288

Ye Z., Liu C. On the resiliency of MUSIC direction finding against antenna sensor coupling IEEE Trans. Antenna Propag., 56 (2) (2008), pp. 371-380

Wang W., Wu R., Liang J., So H.C. Phase retrieval approach for DOA estimation with array errors IEEE Trans. Aerosp. Electron. Syst., 53 (5) (2017), pp. 2610-2620

Liu J., Wu X., W.J. Emery, et al. Direction-of-arrival estimation and sensor array error calibration based on blind signal separation IEEE Signal Process. Lett., 24 (1) (2017), pp. 7-11

Cao S., Ye Z., Xu D., Xu X. A Hadamard product based method for DOA estimation and gain-phase error calibration IEEE Trans. Aerosp. Electron. Syst., 49 (2) (2013), pp. 1224-1233

Liu A., Liao G., Zeng C., Yang Z., Xu Q. An Eigenstructure method for estimating DOA and sensor gain-phase errors IEEE Trans. Signal Process., 59 (12) (2011), pp. 5944-5956

Xie J., Tao H., X. Rao, Su J. Localization of mixed far-field and near-field sources under unknown mutual coupling Digital Signal Process., 50 (2016), pp. 229-239

H. Abeida, J.P. Delmas Statistical performance of MUSIC-like algorithms in resolving noncircular sources IEEE Trans. Signal Process., 56 (9) (2008), pp. 4317-4329

Chen H., Hou C.P., Zhu W.P., Liu W., Dong Y.Y., Peng Z.J., Wang Q. ESPRIT-like two-dimensional direction finding for mixed circular and strictly noncircular sources based on joint diagonalization Signal Process., 141 (2017), pp. 48-56

H. Abeida, J.P. Delmas Direct derivation of the stochastic CRB of DOA estimation for rectilinear sources IEEE Signal Process. Lett., 24 (10) (2017), pp. 1522-1526

Yue Y., Xu Y., Liu Z., Shen L. Parameter estimation of coexisted circular and strictly noncircular sources using diversely polarized antennas IEEE Commun. Lett., 22 (9) (2018), pp. 1822-1825

Shi Y., Huang L., Qian C., So H.C. Direction-of-arrival estimation for noncircular sources via structured least squares-based esprit using three-axis crossed array IEEE Trans. Aerosp. Electron. Syst., 51 (2) (2015), pp. 1267-1278

Chen H., Zhu W.-P., Liu W., et al. RARE-based localization for mixed near-field and far-field rectilinear sources Digit. Signal Process., 85 (2019), pp. 54-61

J. Steinwandt, F. Roemer, M. Haardt, G. Del Galdo R-dimensional ESPRIT-type algorithms for strictly second-order non-circular sources and their performance analysis IEEE Trans. Signal Process., 62 (18) (2014), pp. 4824-4838

Liu Z.M., Huang Z.T., Zhou Y.Y., Liu J. Direction-of-arrival estimation of noncircular signals via sparse representation IEEE Trans. Aerosp. Electron. Syst., 48 (3) (2012), pp. 2690-2698

Chen H., Hou C.P., Liu W., Zhu W.-P., M.N.S. Swamy Efficient two-dimensional direction of arrival estimation for a mixture of circular and noncircular sources IEEE Sensors J., 16 (8) (2016), pp. 2527-2536

Xie W., Wang C., Wen F., et al. DOA and gain-phase errors estimation for noncircular sources with central symmetric array IEEE Sensors J., 17 (10) (2017), pp. 3068-3078

Cao S., Xu D., Xu X., Ye Z. DOA estimation for noncircular signals in the presence of mutual coupling Signal Process., 105 (2014), pp. 12-16

Huang H., Liao B., Guo X., et al. DOA estimation of rectilinear signals with a partly calibrated uniform linear array Signal Process., 147 (2018), pp. 203-207

D.M. Kitavi, Wong K.T., Hung C.C.S. An l-shaped array with non-orthogonal axes-its Cramér-Rao bound for direction finding IEEE Trans. Aerosp. Electron. Syst., 54 (1) (2018), pp. 486-492

A. Ferreol, E. Boyer, P. Larzabal Low-cost algorithm for some bearing estimation methods in presence of separable nuisance parameters Electron. Lett., 40 (15) (2004), pp. 966-967

M. Pesavento, A.B. Gershman, Wong K.M. Direction finding in partly calibrated sensor arrays composed of multiple subarrays IEEE Trans. Signal Process., 50 (9) (2002), pp. 2103-2115
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