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Low Complexity Signal Detection in MIMO Systems

机译:MIMO系统中的低复杂度信号检测

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The Maximum Likelihood Detector (MLD) offers an optimal bit-error-ratio for an un-coded multiple-input-multiple-output (MIMO) communication system. The computational complexity, however, of MLD increases significantly for detection of higher order modulated signal streams with multiple transmit antennas. To reduce this complexity while simultaneously also achieving near optimal performance, we propose a novel technique that modifies the sub-optimal Zero Forcing Detector (ZFD) by using the minimum eigen vector of the matrix HHH, where H is the channel matrix and HH is its Hermitian. The performance in terms of BER and computational complexity of the proposed technique is compared to that of the MLD. Simulations show that the BER performance of the proposed technique is near optimal whereas the computational complexity is significantly reduced.
机译:最大似然检测器(MLD)为未编码的多输入多输出(MIMO)通信系统提供了最佳的误码率。但是,对于使用多个发射天线检测更高阶的调制信号流而言,MLD的计算复杂度显着增加。为了降低这种复杂性,同时又实现接近最佳的性能,我们提出了一种新技术,该技术通过使用矩阵HH的最小特征向量来修改次优零迫检测器(ZFD) H ,其中H是频道矩阵,而H是 H 是其厄米特式的。将所提出技术的误码率和计算复杂度方面的性能与MLD进行了比较。仿真表明,所提出技术的BER性能接近最佳,而计算复杂度却大大降低了。

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