Real-Valued Reweighted l1 Norm Minimization Method Based on Data Reconstruction in MIMO Radar

Author:

LIU Qi1,WANG Wei1,LIANG Dong1,WANG Xianpeng1

Affiliation:

1. Automation Department, Harbin Engineering University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Reference21 articles.

1. [1] H. Krim and M. Viberg, “Two decades of array signal processing research: the parametric approach,” IEEE Signal Process. Mag., vol.13, no.4, pp.67-94, 1996.

2. [2] E. Fishler, A. Haimovich, R. Blum, D. Chizhik, L. Cimini, and R. Valenzuela, “MIMO radar: An idea whose time has come,” Proc. 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509), pp.71-78, 2004.

3. [3] A. Haimovich, R. Blum, and L. Cimini, “MIMO radar with widely separated antennas,” IEEE Signal Process. Mag., vol.25, no.1, pp.116-129, 2008.

4. [4] P. Huang, H. Wang, and C. Yang, “Non circular ROOTMUSIC algorithm for monostatic MIMO radar,” IEICE Electron. Express, vol.11, no.13, p.20140318, 2014.

5. [5] X. Gao, X. Zhang, G. Feng, Z. Wang, and D. Xu, “On the MUSIC-derived Approaches of Angle Estimation for Bistatic MIMO Radar,” Proc. 2009 International Conference on Wireless Networks and Information Systems, pp.343-346, 2009.

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