【摘要】 针对多输入多输出(MIMO)高阶正交幅度调制(QAM)系统检测算法使用传统的高斯逼近算法检测复杂度高的问题,研究了其简化算法。MIMO系统高斯逼近算法通过采用树形搜索的办法,对符号后验概率影响大的符号序列加以保留,其算法复杂度与保留符号序列数目成线性,且与调制阶数成指数关系。针对高阶调制QAM符号的特点,用多级映射的方法来进行高斯逼近,新方法结合树形搜索算法的思想,通过将高阶调制QAM符号拆分成多个4-QAM符号,从而可以每次两个比特的计算序列权重,其算法复杂度与调制阶数成线性关系,从而使得高阶调制系统的检测复杂度大大降低。仿真结果表明,多级映射高斯逼近算法能取得接近传统高斯逼近算法的性能。更多还原

【Abstract】 A simplified detection scheme for multi-input multi-output(MIMO) wireless communication systems with high-order QAM modulation is proposed in this paper.For conventional Gaussian approximation(GA) detection,tree-search method is used and only part of transmit symbol combinations contributing significantly to posterior probabilities are retained,having a complexity linear with retained branches number.Due to the property of high-order QAM formats,the new scheme,called multi-level mapping GA detection,calculates the sequence weight in step of two bits,resulting in a complexity reduction from exponential in the modulation order to linear,compared to basic GA detection,which greatly reduces the complexity for high order modulation MIMO systems.Simulation results show that the multi-level mapping GA can achieve near the performance of GA detection.更多还原