A Root-MUSIC Algorithm for Angle Estimation in Bistatic MIMO Radar

Abstract:

This paper discusses the problem of direction of departure (DOD) and direction of arrival (DOA) estimation using the root multiple signal classification (MUSIC) algorithm in a bistatic multiple input and multiple output (MIMO) radar. The proposed algorithm gets the estimation of DOA and DOD via computing the roots of polynomials and it avoids the spectral peak searching in the conventional MUSIC algorithm. Thus the Root-MUSIC algorithm has much lower computational load. Simulation results illustrate our proposed algorithm has better angle estimation performance than the conventional algorithms.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 4031-4035
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.4031
• Online since: September 2013
• Authors: Jia Wei Liu, Ren Zheng Cao, Xiao Fei Zhang
• Keywords: Angle Estimation, Bistatic MIMO Radar, Root-MUSIC

References

[1] E. Fishler, A. Haimovich, R. S. Blum, L. J. Cimini, D. Chizhik, and R. A. Valenzuela. MIMO radar: an idea whose time has come [C]. Proceeding of IEEE Radar Conference, Philadelphia, Apr. 2004: 71-78.

DOI: 10.1109/nrc.2004.1316398

[2] J. Li and P. Stoica. MIMO radar—diversity means superiority [C]. Proc. 14th Adaptive Sensor Array Process. Workshop (ASAP '06), Lincoln Lab, Mass, USA, Dec. (2006).

[3] E. Fishler, A. Haimovich, R. S. Blum, L. J. Cimini Jr., D. Chizhik, and R. A. Valenzuela. Spatial diversity in radars models and detection performance [J]. IEEE Transactions on Signal Process. 2006. 54(3): 823-838.

DOI: 10.1109/tsp.2005.862813

[4] D. R. Fuhrmann and G. S. Antonio. Transmit beamforming for MIMO radar systems using partial signal correlation [C]. In Proc. 38th Asilomar Conf. on Signals, Systems and Computers, pages 295-299, Nov. (2004).

DOI: 10.1109/acssc.2004.1399140

[5] X. Li, Z. Zhang, W. X. Mao, et al. A study of frequency diversity MIMO radar beamforming [C]. IEEE 10th International Conference (ICSP2010), Beijing, China, 2010: 352 - 356.

[6] R. Sharma. Analysis of MIMO radar ambiguity functions and implications on clear region[C]. IEEE International Radar Conference, Washington DC, USA, May. 2010: 544-548.

DOI: 10.1109/radar.2010.5494562

[7] J. Li, G. Liao, and H. Griffiths. Bistatic MIMO radar space-time adaptive processing [C]. 2011 IEEE International Radar Conference, Westin Crown Center in Kansas City, Missouri, May 2011: 498-502.

DOI: 10.1109/radar.2011.5960587

[8] H. Yan, J. Li and G. Liao. Multitarget identification and localization using bistatic MIMO radar systems [J]. EURASIP Journal on Advances in Signal Processing, 2008: 1-8.

DOI: 10.1155/2008/283483

[9] X. H. Wu, A. A. Kishk, and A. W. Glisson. MIMO-OFDM radar for direction estimation [J]. IET Radar, Sonar & Navigation, 2010, 4(1): 28-36.

DOI: 10.1049/iet-rsn.2008.0152

[10] J. Li, P. Stoica, L. Xu, et al . On parameter identifiability of MIMO radar [J]. IEEE Signal Processing Letters , 2007, 14(12): 968-971.

DOI: 10.1109/lsp.2007.905051

[11] L. Xu, J. Li, and P. Stoica. Target detection and parameter estimation for MIMO radar systems [J]. IEEE Transactions on Aerospace and Electronic Systems, 2008, 44(3): 927-939.

DOI: 10.1109/taes.2008.4655353

[12] J. Li, G. Liao, K. Ma, et al. Waveform decorrelation for multitarget localization in bistatic MIMO radar systems [C]. 2010 IEEE International Radar Conference, Washington, May 2010: 21-24.

DOI: 10.1109/radar.2010.5494659

[13] R. O. Schmidt. Multiple emmitter location and signal parameter specetral estimation [J]. IEEE Transactions on Antennas and Propagation, 1986. 34(3): 276-280.

DOI: 10.1109/tap.1986.1143830