Data detection in MIMO systems with cochannel interference
Vehicular Technology Conference, 2002. Proceedings. VTC 2002-Fall. 2002 IEEE 56th （2002）
摘要
The Bell Labs Layered Space-Time (BLAST) architecture has been proposed to achieve high spectral e�- ciency on multi-input multi-output (MIMO) channels. Most studies of the BLAST algorithm consider spatially and tem- porally white noise and interference at the receiver. In this paper, we study channel estimation and data detection of a MIMO system under both spatially and temporally col- ored interference. We derive maximum likelihood (ML) esti- mates of channel and spatial interference correlation matri- ces. By exploiting known temporal interference correlation, we extend one-time-slot ordered minimum mean-squared er- ror (MMSE) nulling detection to a multi-time-slot version. We evaluate the symbol error rate of an uncoded QPSK MIMO system under independent Rayleigh fading. The re- sults show that by exploiting both spatial and temporal in- terference correlation, we achieve about 2dB gain in SIR for a 4 Ç 4 MIMO system.
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关键词
mimo systems,rayleigh channels,cellular radio,channel estimation,cochannel interference,correlation methods,least mean squares methods,matrix algebra,multi-access systems,quadrature phase shift keying,signal detection,blast algorithm,bell labs layered space-time architecture,mmse detection,qpsk,rayleigh fading,sir,cellular systems,colored interference,correlation matrices,data detection,ing detection,maximum likelihood estimation,minimum mean-squared error detection,multi-input multi-output channels,multiple access systems,spatial interference,spectral efficiency,symbol error rate,temporal interference,maximum likelihood,mimo,fading,white noise,minimum mean square error
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