【摘要】 为了提高MIMO SC-FDE系统的检测可靠性、降低系统复杂度，提出一种新的迭代干扰消除检测算法，并推导出分集接收界作为评价算法性能优劣的依据.该检测算法采用基本的线性均衡算法提供初始值，在迭代中尽量消除层间干扰，利用空间分集增益逐步提高检测可靠性.结果表明，该算法在4QAM调制方式下，E_b/N₀为9 dB时逼近分集接收界；在16QAM调制方式下，E_b/N₀为16 dB时逼近分集接收界.该算法一轮迭代的计算复杂度与发射天线的数目成线性关系，天线规模为3×3以上时算法复杂度低于V-BLAST.因此，所提算法适用于天线规模数大于等于3、调制进制数大于等于4的系统中，在倾向于采用large MIMO系统的5G及后5G时代具有高效性和实用性.更多还原

【Abstract】 To improve the detection reliability and reduce the computational complexity of multiple-input-multiple-output（MIMO） single carrier-frequency-domain equalization（SC-FDE） systems, a novel iterative signal detection algorithm, called iterative interference cancellation（IIC）, is proposed. Moreover, a receive diversity lower bound（RDLB） is derived as a benchmark to evaluate the bit error rate performance. The proposed IIC utilizes the initial value provided by the basic linear equalization algorithm, progressively removes the inter-layer interference by the iterative process, and gradually improves the reliability of the detected results. The results indicate that the proposed IIC approaches to the RDLB at the E_b/N₀ of 9 dB and 16 dB for 4-ary and 16-ary quadrature amplitude modulations, respectively. The computational complexity of an iterative loop is linear to the number of transmit antennas, and the overall complexity is lower than that of a popular vertically Bell laboratory layered space-time detector when the antenna size is larger than 3×3. Therefore, the proposed algorithm remarkably enhances the reliability of MIMO SC-FDE systems with an antenna size of not less than 3×3 and is computationally efficient and practical even in large-dimension MIMO systems for 5th-generation（5G） or beyond 5G communications.更多还原