Fast Angle Estimation Based on MSWF and Polynomial Rooting for Monostatic MIMO Radar

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Abstract:

A novel method employing Multi-Stage Wiener Filter (MSWF) and polynomial rooting is proposed for the one-dimensional angle estimation of MIMO radar. In this algorithm, the signal subspace is obtained using MSWF, which avoids the known expected signal, the estimation of the virtual data autocorrelation matrix and eigen-decomposition. Then, a polynomial rooting is adopted to realize angle estimation. The effectiveness of the proposed method is verified by numerical examples.

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711-715

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September 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Jian Li, Petre Stoica. MIMO radar signal processing , John Wiley & Sons, Inc. 2009, pp.153-154.

Google Scholar

[2] W. Bliss and K. W. Forsythe, Multiple-input multiple-output (MIMO) radar and imaging: Degrees of freedom and resolution, Conf. Record 37th Asilomar Conf. Signals, Systems & Computers, Pacific Grove, CA, Nov. 2003, Vol. 1, p.54–59.

DOI: 10.1109/acssc.2003.1291865

Google Scholar

[3] F. C. Robey et al., MIMO radar theory and experimental results, Conf. Record 38th Asilomar Conf. Signals, Systems & Computers, Pacific Grove, CA, Nov. (2004).

Google Scholar

[4] Bekkerman, I., and Tabrikian, J.: Target detection and localization using MIMO radars and sonars, IEEE Trans. Signal Process., 2006, 54, (10), pp.3873-3883.

DOI: 10.1109/tsp.2006.879267

Google Scholar

[5] Bekkerman, I., and Tabrikian, J.: Transmission diversity smoothing for multi-target localization, ICASSP, 2005, pp.1041-1044.

DOI: 10.1109/icassp.2005.1416190

Google Scholar

[6] Jian, L., Petre Stoica.: MIMO radar signal processing, John Wiley & Sons, Inc. 2009, 76-77.

Google Scholar

[7] Goldstein, J. S., Reed, I. S. and Scharf, L. L.: A multistage representation of the Wiener filter based on orthogonal projections, IEEE Trans. Inf. Theory, 1998, 44, (7), p.2943–2959.

DOI: 10.1109/18.737524

Google Scholar

[8] Lei, H., Shunjun, W., Linrang, Z.: A Fast Method for Subspace Decomposition and It s Dimension Estimation, Chinese Journal of Electronics, 2005, 33, (6). pp.977-981.

Google Scholar