Target Localization Techniques and Tools for MIMO Radar

被引:0
|
作者
Godrich, Hana [1 ]
Haimovich, Alexander M. [1 ]
Blum, Rick S. [2 ]
机构
[1] New Jersey Inst Technol, Newark, NJ 07102 USA
[2] Lehig Univ, Bethlehem, PA USA
来源
2008 IEEE RADAR CONFERENCE, VOLS. 1-4 | 2008年
关键词
MIMO radar; spatial processing; adaptive array;
D O I
暂无
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
MIMO (multiple-input multiple-output) radar refers to an architecture that employs multiple, spatially distributed or colocated transmitters and receivers. The widely spaced antenna structure suggests unique features that set MIMO radar apart from other radar system, making it strongly related to MIMO communications. The widely separated transmit/receive antennas capture different aspects of the target cross section that can be exploited to obtain diversity gain for detection and estimation of the target's various parameters, such as angle of arrival, and Doppler. The use of coherent processing can provide localization accuracy gains well beyond that supported by the radar's waveform. This paper provides a review of some recent work on computing the Cramer-Rao lower bound (CRLB) on the achievable localization accuracy. The geometric dilution of precision (GDOP) is used as a tool for assessing and illustrating the localization accuracy of the Best Linear Unbiased Estimator (BLUE).
引用
收藏
页码:323 / +
页数:2
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