1. 上海交通大学 电子信息与电气工程学院,上海,200240
2. 上海卫星通信工程研究所,上海,201109
纸质出版:2018
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梁子豪, 刘辉, 贺光辉. 一种适用于MIMO系统MMSE检测的LDLT分解硬件实现[J]. 微电子学与计算机, 2018, 35(8): 82-86.
LIANG Zi-hao, LIU Hui, HE Guang-hui. A Hardware Implementation of LDLT Decomposition for MMSE Detection in MIMO System[J]. 2018, 35(8): 82-86.
提出了一种适用于MIMO系统MMSE检测的LDLT分解算法的硬件实现.通过三角阵形式的脉动阵列完成对待求逆矩阵的LDLT分解操作
合理利用待求逆矩阵的共轭对称性
输入与输出的矩阵均仅需为下三角矩阵.同时
针对LDLT分解算法中的除法
采用求倒结构来避免使用除法器.同时合理安排时序
使脉动阵列结构中求倒结构能够分时复用
并采用查找表压缩技术
明显减小了求倒结构的硬件开销.仿真结果和实现报告表明该硬件实现方法在保证吞吐率和误码率性能的前提下
以较低的硬件资源消耗完成了MMSE检测算法中的矩阵分解.
A Hardware implementation of LDLT decomposition is proposed for MMSE detection in MIMO system. A systolic array of triangle shape is adopted for matrix inversion. By making use of the property of the Hermitian matrix to be inversed
the input and output can just be lower triangular matrix. Moreover
aiming at the divisions in the LDLT decomposition algorithm
a reciprocal architecture is proposed to avoid dividers. By arranging the timing
time-division multiplexing of the reciprocal architecture can be achieved. And by using look-up table compression technique
the hardware utilization of the reciprocal architecture can be reduced obviously. The simulation result and the implementation result show that the proposed hardware implementation can compute LDLT decomposition of MMSE detection in low hardware utilization
under the premise of high throughput and good bit error rate performance.
Schulte M J, Stine J E, Wires K E. High-speed reciprocal approximations[C]//Signals, Systems % Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on. IEEE, 1997, 2: 1183-1187.
Studer C, Fateh S, Seethaler D. ASIC implementation of soft-input soft-output MIMO detection using MMSE parallel interference cancellation[J]. IEEE Journal of Solid-State Circuits, 2011, 46(7): 1754-1765. DOI: 1754
Chockalingam A, Rajan B S. Large MIMO Systems[M]. IEEE, 2013.
Gestner B, Anderson D V. Single Newton-Raphson iteration for integer-rounded divider for lattice reduction algorithms[C] //Circuits and Systems, 2008. MWSCAS 2008. 51st Midwest Symposium on. IEEE, 2008: 966-969.
Burg A, Haene S, Perels D, et al. Algorithm and VLSI architecture for linear MMSE detection in MIMO-OFDM systems[C]. IEEE International Symposium on Circuits and Systems, 2006. ISCAS 2006. Proceedings. IEEE, 2006: 4.
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