基于Jacobi迭代的大规模MIMO系统低复杂度软检测算法
发布时间：2019-07-06 08:37
【摘要】：基于Jacobi迭代提出一种低复杂度信号检测算法,在算法实现中避免了矩阵求逆运算.数学推导证明,该算法应用于MMSE检测时是收敛的,与传统的Neumann级数展开方法对比,能达到与其完全相同的检测性能,并且在任意迭代次数下能将复杂度保持在O(K~2),而后者当级数展开项数大于等于3时复杂度上升为O(K~3).为了进一步将Jacobi迭代应用到软判决中,提出了一种用于信道译码的LLR的近似计算方法.仿真结果表明,经过几次迭代,Jacobi迭代算法收敛较快,并接近MMSE检测性能.
[Abstract]:Based on Jacobi iteration, a low complexity signal detection algorithm is proposed, which avoids the inverse operation of matrix in the implementation of the algorithm. The mathematical derivation proves that the algorithm is convergent when applied to MMSE detection. Compared with the traditional Neumann series expansion method, the algorithm can achieve exactly the same detection performance, and can keep the complexity at O (K 鈮，
本文编号：2510901
[Abstract]:Based on Jacobi iteration, a low complexity signal detection algorithm is proposed, which avoids the inverse operation of matrix in the implementation of the algorithm. The mathematical derivation proves that the algorithm is convergent when applied to MMSE detection. Compared with the traditional Neumann series expansion method, the algorithm can achieve exactly the same detection performance, and can keep the complexity at O (K 鈮，
本文编号：2510901
本文链接：https://www.wllwen.com/kejilunwen/xinxigongchenglunwen/2510901.html
