Array Grating Lobe Elimination of F-MIMO HF Radar with Colocated Antennas

Article Preview

Abstract:

Multiple-input multiple-output (MIMO) radar with frequency diversity (f-MIMO) is applied to HF radar. An array processing model of f-MIMO HF radar is developed. To eliminate the grating lobe of f-MIMO radar beamforming, two approaches are proposed. One is to apply particle swarm optimization (PSO) algorithm to select the optimal carrier frequency combination. Another is to extract array elements from the virtual receive array to get the optimal sparse array structure, and the simplified physical receive array structure is proposed. Simulation results demonstrate the effectiveness of the method proposed.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

4510-4513

Citation:

Online since:

May 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] A. Roshanzami, M. H. Bastani, et al. Analysing of 3D beamforming in MIMO radars. Information and Communication Technologies (WICT), 2012 World Congress on, pp.745-749, Oct. (2012).

DOI: 10.1109/wict.2012.6409173

Google Scholar

[2] Sharma R. Analysis of MIMO radar ambiguity functions and implications on clear region. Proc. IEEE. Radar Conf, pp.544-548, April (2010).

DOI: 10.1109/radar.2010.5494562

Google Scholar

[3] Dianat M, Taban M R, Dianat J, et al. Target Localization using Least Squares Estimation for MIMO Radars with Widely Separated Antennas. Aerospace and Electronic Systems, IEEE Transactions on, vol. 49, no. 4, pp.2730-2741, Oct. (2013).

DOI: 10.1109/taes.2013.6621849

Google Scholar

[4] Hassanien A, Vorobyov S A. Transmit/receive beamforming for MIMO radar with colocated antennas. Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, pp.2089-2092, April (2009).

DOI: 10.1109/icassp.2009.4960027

Google Scholar

[5] B. W. Jung, R. S. Adve, J. Chun. Distributed Aperture OFDM Radar. Radar Conference, 2009 IEEE , pp.1-4, May (2009).

DOI: 10.1109/radar.2009.4976970

Google Scholar

[6] Shi, Yuhui, and Russell C. Eberhart. Empirical study of particle swarm optimization. Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on. Vol. 3. IEEE, (1999).

DOI: 10.1109/cec.1999.785511

Google Scholar