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	Detection performance of MIMO radar
	Dai Xizeng ; Peng Yingning ; Tang Jun
	2010-05-06 ; 2010-05-06
关键词	Practical Theoretical or Mathematical/ covariance matrices diversity reception eigenvalues and eigenfunctions fading independent component analysis MIMO communication radar cross-sections radar detection radar target recognition radar transmitters/ spatial diversity multiple input multiple output radar MIMO distributed source model Neyman-Pearson criterion primary component analysis eigenvector analysis independent component radar cross section RCS fading target detection transmitter element/ B6320 Radar equipment, systems and applications B6310 Radar theory B6140M Signal detection B0210 Algebra B0240Z Other topics in statistics
中文摘要	The spatial diversity of multiple input multiple output (MIMO) radar was analyzed based on a distributed source model under the Neyman-Pearson criterion when the observation paths were not strictly independent of each other. The detector was then simplified based on the primary component analysis. An eigenvector analysis of the covariance of the received signal vectors was used to extract the independent components of the vectors from M received signals, which were combined by the detector. Simulations show that as long as more than 2 independent components are obtained, the MIMO radar is still able to counter the target's radar cross section (RCS) scintillation compared with conventional phase radar, even if the observation paths were not entirely independent. In addition, MIMO radar can efficiently detect fading targets using the spatial diversity when the distance between the transmitter elements is decreased to 1/4 that for the ideal conditions.
语种	中文 ; 中文
出版者	Tsinghua Univ. Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/11363]
专题	清华大学
推荐引用方式 GB/T 7714	Dai Xizeng,Peng Yingning,Tang Jun. Detection performance of MIMO radar[J],2010, 2010.
APA	Dai Xizeng,Peng Yingning,&Tang Jun.(2010).Detection performance of MIMO radar..
MLA	Dai Xizeng,et al."Detection performance of MIMO radar".(2010).

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