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BLAST提议在MIMO信道中获取更高的频谱利用率,大部分BLAST算法的研究结果认为,在接收端存在时空的白躁声和干扰.现研究在空间和时间都存在干扰的情况下一个MIMO系统的信道估计和数据检测.得到最大似然信道估计和空间干扰相关矩阵.通过利用已知的时间干扰相关特性,按照最小均方误差准则扩展一个时槽(无效的检测)到对多时槽版本.在独立的瑞利衰落信道下估计MIMO系统中未编码的QPSK的误码率.“,”The Bell Labs Layered Space-Time (BLAST)architecture has been proposed to achieve high spectral efficiency on multi-input multi-output (MIMO)channels.Most studies of the BLAST algorithm consider spatially and temporally 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 colored interference.We derive maximum likelihood (ML)estimates of channel and spatial interference correlation matrices.By exploiting known temporal interference correlation,we extend one-time-slot ordered minimum mean-squared error(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.