A Taylor series expansion(TSE) based design for minimum mean-square error(MMSE) and QR decomposition(QRD) of multi-input and multi-output(MIMO) systems is proposed based on application specific instruction set process...A Taylor series expansion(TSE) based design for minimum mean-square error(MMSE) and QR decomposition(QRD) of multi-input and multi-output(MIMO) systems is proposed based on application specific instruction set processor(ASIP), which uses TSE algorithm instead of resource-consuming reciprocal and reciprocal square root(RSR) operations.The aim is to give a high performance implementation for MMSE and QRD in one programmable platform simultaneously.Furthermore, instruction set architecture(ISA) and the allocation of data paths in single instruction multiple data-very long instruction word(SIMD-VLIW) architecture are provided, offering more data parallelism and instruction parallelism for different dimension matrices and operation types.Meanwhile, multiple level numerical precision can be achieved with flexible table size and expansion order in TSE ISA.The ASIP has been implemented to a 28 nm CMOS process and frequency reaches 800 MHz.Experimental results show that the proposed design provides perfect numerical precision within the fixed bit-width of the ASIP, higher matrix processing rate better than the requirements of 5G system and more rate-area efficiency comparable with ASIC implementations.展开更多
针对空间调制(spatial modulation,SM)系统中最优检测算法,即最大似然(maximum likelihood,ML)算法存在的高复杂度问题,提出了基于QRD-M(QR-decomposition with M-algorithm,QRD-M)算法的空间调制信号检测算法。该算法运用M算法树搜索策...针对空间调制(spatial modulation,SM)系统中最优检测算法,即最大似然(maximum likelihood,ML)算法存在的高复杂度问题,提出了基于QRD-M(QR-decomposition with M-algorithm,QRD-M)算法的空间调制信号检测算法。该算法运用M算法树搜索策略,每层只计算最优的M个分支,其性能近似最优且运算量较低,有利于硬件实现。但随着发收天线数增多,传统QRD-M算法的检测性能会下降并需要较长的算法执行时间。因此,采用并行检测的思想,提出了PQRD-M(parallel QRD-M,PQRD-M)检测算法。该算法在各个分支上分别独立地进行搜索,提高了执行效率。对所提出的算法进行了复杂度分析,并在不同天线数目和不同保留节点数下对其误码性能进行了仿真,结果表明,相比于QRD-M算法,PQRD-M算法以增加一定的计算量为代价,能显著地改善空间调制信号检测性能,同时还能节约硬件资源。展开更多
针对卫星通信系统记忆功率放大器引起的非线性失真,提出了一种单路计算方法与QRD-LS算法相结合的新型预失真方法。该方法基于记忆多项式模型与间接学习结构,采用基带I、Q信号中的一路作为最小二乘算法的输出,同时预失真训练器输入矩阵...针对卫星通信系统记忆功率放大器引起的非线性失真,提出了一种单路计算方法与QRD-LS算法相结合的新型预失真方法。该方法基于记忆多项式模型与间接学习结构,采用基带I、Q信号中的一路作为最小二乘算法的输出,同时预失真训练器输入矩阵由复数转化为实数;基于Givens变换的QR分解避免了最小二乘算法直接对矩阵求逆。针对16QAM调制信号与AB类功放模型进行仿真,结果表明:系统EVM从6.2%提升到0.8%,带外功率谱抑制20 d B。展开更多
基金Supported by the Industrial Internet Innovation and Development Project of Ministry of Industry and Information Technology (No.GHBJ2004)。
文摘A Taylor series expansion(TSE) based design for minimum mean-square error(MMSE) and QR decomposition(QRD) of multi-input and multi-output(MIMO) systems is proposed based on application specific instruction set processor(ASIP), which uses TSE algorithm instead of resource-consuming reciprocal and reciprocal square root(RSR) operations.The aim is to give a high performance implementation for MMSE and QRD in one programmable platform simultaneously.Furthermore, instruction set architecture(ISA) and the allocation of data paths in single instruction multiple data-very long instruction word(SIMD-VLIW) architecture are provided, offering more data parallelism and instruction parallelism for different dimension matrices and operation types.Meanwhile, multiple level numerical precision can be achieved with flexible table size and expansion order in TSE ISA.The ASIP has been implemented to a 28 nm CMOS process and frequency reaches 800 MHz.Experimental results show that the proposed design provides perfect numerical precision within the fixed bit-width of the ASIP, higher matrix processing rate better than the requirements of 5G system and more rate-area efficiency comparable with ASIC implementations.
文摘针对卫星通信系统记忆功率放大器引起的非线性失真,提出了一种单路计算方法与QRD-LS算法相结合的新型预失真方法。该方法基于记忆多项式模型与间接学习结构,采用基带I、Q信号中的一路作为最小二乘算法的输出,同时预失真训练器输入矩阵由复数转化为实数;基于Givens变换的QR分解避免了最小二乘算法直接对矩阵求逆。针对16QAM调制信号与AB类功放模型进行仿真,结果表明:系统EVM从6.2%提升到0.8%,带外功率谱抑制20 d B。
