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Low-complexity soft-output K-Best MIMO decoder in 2#x00D7;2 spatial multiplexing system

机译:2×2空间复用系统中的低复杂度软输出K-Best MIMO解码器

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This paper presents algorithm of low-complexity K-Best MIMO decoder algorithm applied in 2×2 spatial multiplexing system with 64-QAM modulation. Low computational complexity in the proposed algorithm is achieved by separating real and imaginary computation. We also discovered that some complex-value multiplications can be reduced into two real-value multiplications without affecting performance. These improvements increase the suitability of K-Best algorithm to be applied in real-time VLSI implementation. Finally, we verified the proposed K-Best algorithm performance and compared it with the performance of conventional algorithm in term of Bit Error Rate (BER) using IEEE 802.16–2009 WiMAX system as an implementation platform. The proposed algorithm can achieve computational reduction in Partial Euclidean Distance (PED) calculation as high as 57.78% for real-value adders and 74.93% for real-value multipliers compared with conventional K-Best.
机译:提出了一种低复杂度的K-Best MIMO解码器算法,该算法应用于具有64-QAM调制的2×2空间复用系统中。拟议算法的计算复杂度低,是通过分离实部和虚部计算实现的。我们还发现,一些复数值乘法可以简化为两个实数值乘法,而不会影响性能。这些改进提高了K-Best算法在实时VLSI实现中的适用性。最后,我们以IEEE 802.16–2009 WiMAX系统为实现平台,对提出的K-Best算法性能进行了验证,并将其与传统算法的误码率(BER)进行了比较。与传统的K-Best相比,该算法可实现部分欧几里得距离(PED)计算的计算量减少,实值加法器可达到57.78%,实值乘数可达到74.93%。

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