volume | PIER Journals

Abstract

The existing target localization algorithms almost cannot be used to near-field target localization in Multiple-Input Multiple-Output (MIMO) radar, and this paper presents a novel method. This algorithm uses Chan algorithm to obtain initial estimate of the targets. Then we define a new residual matrix and use the weighted least square (WLS) method to get a more accurate positioning result. The Fuzzy C-Means (FCM)algorithm is introduced to get more stable and accurate estimation. Furthermore, this algorithm achieves accurate positioning of the MIMO radar demonstrated by simulations.

1. Godrich, H., A. M. Haimovich, and R. S. Blum, "Cramer Rao bound on target localization estimation in MIMO radar systems," 42nd Annual Conf. Information Sciences and Systems, 134-139, Princeton, NJ, United States, March 19-21, 2008. Google Scholar

2. Godrich, H., A. M. Haimovich, and R. S. Blum, "A comparative study of target localization in MIMO radar systems," Waveform Diversity and Design Conference, 124-128, Kissimmee, FL, United States, February 8-13, 2009. Google Scholar

3. Fishler, E., A. Haimovich, R. Blum, D. Chizhik, L. Cimini, and R. Valenzuela, "MIMO radar: An idea whose time has come," Proceedings of the IEEE Radar Conference, 71-78, Philadelphia, PA, United States, April 26-29, 2004. Google Scholar

4. Lehmann, N. H., A. M. Haimovich, R. S. Blum, and L. Cimini, "High resolution capabilities of MIMO radar," 40th Asilomar Conf. Signals, Systems and Computers, 25-30, Pacific Grove, CA, United States, October 29-November 1, 2006. Google Scholar

5. Cekli, E. and H. A. Cirpan, "Unconditional maximum likelihood approach for localization of near-field sources: Algorithm and performance analysis," AEU-International Journal of Electronics and Communications, Vol. 57, No. 1, 9-15, 2003.
doi:10.1078/1434-8411-54100135 Google Scholar

6. Zhang, X., L. Xu, and D. Xu, "Direction of Departure (DOD) and Direction of Arrival (DOA) estimation in MIMO radar with reduced-dimension MUSIC," IEEE Commun. Lett., Vol. 14, No. 10, 1161-1163, 2010.
doi:10.1109/LCOMM.2010.102610.101581 Google Scholar

7. Chen, J., G. Liu, and X. Sun, "Passive localization of 3D near-field cyclostationary sources using parallel factor analysis," International Journal of Antennas & Propagation, 2013 (Article ID 657653), 2013. Google Scholar

8. Liang, J. and D. Liu, "Passive localization of mixed near-field and far-field sources using two-stage MUSIC algorithm," IEEE Transactions on Signal Processing, Vol. 58, No. 1, 108-120, 2010.
doi:10.1109/TSP.2009.2029723 Google Scholar

9. Meng, Y., J. Xu, Y. Huang, and J. He, "Key factors of multi-station TDOA passive location study," International Conference on Intelligent Human-Machine Systems and Cybernetics, 220-223, 2015. Google Scholar

10. Zhang, J.-W., C.-L., Yu, B. Tang, and Y.-Y. Ji, "Chan location algorithm application in 3-dimension space location," 2008 ISECS International Colloquium on Computing, Communication, Control, and Management, 622-625, 2008. Google Scholar

11. Zhang, C. and Y. Gu, "Cluster analysis based and threshold based selection localization algorithm for WSN," International Conference on Electronics Information and Emergency Communication, 186-189, 2015. Google Scholar

12. Wang, H. and H. Guo, "Hyperbolic localization method for MIMO radar," International Radar Symposium (IRS), 880-885, 2011. Google Scholar

13. Yang, H. and J. Chun, "Hyperbolic localization in MIMO radar system," IEEE Antennas and Wireless Propagation Letters, 618-621, 2015.
doi:10.1109/LAWP.2014.2374603 Google Scholar

14. Feng, J., L. C. Jiao, X. Zhang, M. Gong, and T. Sun, "Robust non-local fuzzy c-means algorithm with edge preservation for SAR image segmentation," Signal Processing, 487-499, 2013.
doi:10.1016/j.sigpro.2012.08.024 Google Scholar

Dr. Jurong Hu

Dr. Qianru Yuan

Dr. Yu Zhang