DocumentCode :
1845701
Title :
Multiple-target localization and estimation of MIMO radars with unknown transmitted signals
Author :
Xia, Wei ; He, Zishu
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
fYear :
2008
fDate :
18-21 May 2008
Firstpage :
3009
Lastpage :
3012
Abstract :
We consider a statistical multiple-input multiple-output (MIMO) radar system in which the transmit antennas are sparsely spaced to achieve spatial diversity while the receive antennas are closely spaced for direction finding. We consider the scenario where the transmitted signals are unknown. A two-step procedure is introduced to accomplish the localization of multiple targets and the estimation of both the fading matrix and the transmitted signals. In the first step, the angles are estimated using the approximate maximum likelihood algorithm. In the second step, the fading matrix and the transmitted signals are estimated using the blind signal processing techniques. The performance of the proposed procedure is validated by the simulation results.
Keywords :
MIMO communication; diversity reception; fading; maximum likelihood estimation; radar antennas; radar tracking; radio direction-finding; receiving antennas; signal processing; target tracking; transmitting antennas; MIMO radars; approximate maximum likelihood algorithm; blind signal processing techniques; closely spaced antennas; direction finding; fading matrix; multiple-input multiple-output radar system; multiple-target localization; receive antennas; sparsely spaced antennas; spatial diversity; transmit antennas; transmitted signals; Directive antennas; Fading; MIMO; Maximum likelihood estimation; Radar antennas; Receiving antennas; Signal processing; Signal processing algorithms; Spaceborne radar; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-1683-7
Electronic_ISBN :
978-1-4244-1684-4
Type :
conf
DOI :
10.1109/ISCAS.2008.4542091
Filename :
4542091
Link To Document :
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