Evaluation of transmit diversity in MIMO-radar direction finding

被引：205
作者：
Lehmann, Nikolaus H.
Fishler, Eran
Haimovich, Alexander M.
Blum, Rick S.
Chizhik, Dmitry
Cimini, Leonard J., Jr.
Valenzuela, Reinaldo A.
机构：
[1] New Jersey Inst Technol, ECE Dept, Newark, NJ 07102 USA
[2] Hite Capital Management, New York, NY 10016 USA
[3] Lehigh Univ, ECE Dept, Bethlehem, PA 18015 USA
[4] Lucent Technol, Bell Labs, Wireless Commun Res Dept, Holmdel, NJ 07733 USA
[5] Univ Delaware, ECE Dept, Newark, DE 19716 USA
来源：
IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2007年 / 55卷 / 05期
关键词：
array processing; Cramer-Rao bound (CRB); direction finding; multiple-input multiple-output (MIMO)-radar;
D O I：
10.1109/TSP.2007.893220
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
It has been recently shown that multiple-input multiple-output (MIMO) antenna systems have the potential to dramatically improve the performance of communication systems over single antenna systems. Unlike beamforming, which presumes a high correlation between signals either transmitted or received by an array, the MIMO concept exploits the independence between signals at the array elements. In conventional radar, the target's radar cross section (RCS) fluctuations are regarded as a nuisance parameter that degrades radar performance. The novelty of MIMO radar is that it provides measures to overcome those degradations or even utilizes the RCS fluctuations for new applications. This paper explores how transmit diversity can improve the direction finding performance of a radar utilizing an antenna array at the receiver. To harness diversity, the transmit antennas have to be widely separated, while for direction finding, the receive antennas have to be closely spaced. The analysis is carried out by evaluating several Cramer-Rao bounds for bearing estimation and the mean square error of the maximum likelihood estimate.
引用
收藏
页码：2215 / 2225
页数：11
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