介绍了自动变步长分块最小均方(Block Least Mean Square,BLMS)自适应均衡算法。通过自动变更步长,改善了算法的收敛与稳态误差性能。针对改进后的快速BLMS算法硬件实现特点,对其中采用重叠保留法的快速傅里叶变换(Fast Fourier Transfo...介绍了自动变步长分块最小均方(Block Least Mean Square,BLMS)自适应均衡算法。通过自动变更步长,改善了算法的收敛与稳态误差性能。针对改进后的快速BLMS算法硬件实现特点,对其中采用重叠保留法的快速傅里叶变换(Fast Fourier Transformation,FFT)模块,进行了优化,降低了该算法的计算复杂度。相关仿真表明,该算法能在典型多径高速传输环境下能快速收敛,并接近理想性能,且跟踪信道的性能较好,部分FFT计算过程还得到优化。故该算法在保证性能的基础上,还减少了计算资源,具有较大工程实践意义。展开更多
短波通信带宽受限,容易受到多普勒效应的影响,从而影响传统单/多载波波形的传输性能。正交时频空(Orthogonal Time Frequency Space,OTFS)是近年来涌现的新型传输波形,能够适用于高多普勒扩展的无线传输场景。进而,基于短波信道首次验证...短波通信带宽受限,容易受到多普勒效应的影响,从而影响传统单/多载波波形的传输性能。正交时频空(Orthogonal Time Frequency Space,OTFS)是近年来涌现的新型传输波形,能够适用于高多普勒扩展的无线传输场景。进而,基于短波信道首次验证了OTFS波形的传输能力,在发射端提出了支持OTFS波形的信号发生机制,并在接收端实现了基于块最小均方误差的信号检测算法。最后,在典型短波信道条件下,通过计算机仿真,比较了OTFS和单/多载波波形的传输性能。结果表明,OTFS波形在高多普勒扩展下具有性能优势,从而验证了OTFS波形在短波通信中的应用潜力。展开更多
Many applications require the solution of large nonsymmetric linear systems with multiple right hand sides. Instead of applying an iterative method to each of these systems individually, it is often more efficient to...Many applications require the solution of large nonsymmetric linear systems with multiple right hand sides. Instead of applying an iterative method to each of these systems individually, it is often more efficient to use a block version of the method that generates iterates for all the systems simultaneously. In this paper, we propose a block version of generalized minimum backward (GMBACK) for solving large multiple nonsymmetric linear systems. The new method employs the block Arnoldi process to construct a basis for the Krylov subspace K m(A, R 0) and seeks X m∈X 0+K m(A, R 0) to minimize the norm of the perturbation to the data given in A.展开更多
文摘介绍了自动变步长分块最小均方(Block Least Mean Square,BLMS)自适应均衡算法。通过自动变更步长,改善了算法的收敛与稳态误差性能。针对改进后的快速BLMS算法硬件实现特点,对其中采用重叠保留法的快速傅里叶变换(Fast Fourier Transformation,FFT)模块,进行了优化,降低了该算法的计算复杂度。相关仿真表明,该算法能在典型多径高速传输环境下能快速收敛,并接近理想性能,且跟踪信道的性能较好,部分FFT计算过程还得到优化。故该算法在保证性能的基础上,还减少了计算资源,具有较大工程实践意义。
文摘短波通信带宽受限,容易受到多普勒效应的影响,从而影响传统单/多载波波形的传输性能。正交时频空(Orthogonal Time Frequency Space,OTFS)是近年来涌现的新型传输波形,能够适用于高多普勒扩展的无线传输场景。进而,基于短波信道首次验证了OTFS波形的传输能力,在发射端提出了支持OTFS波形的信号发生机制,并在接收端实现了基于块最小均方误差的信号检测算法。最后,在典型短波信道条件下,通过计算机仿真,比较了OTFS和单/多载波波形的传输性能。结果表明,OTFS波形在高多普勒扩展下具有性能优势,从而验证了OTFS波形在短波通信中的应用潜力。
文摘Many applications require the solution of large nonsymmetric linear systems with multiple right hand sides. Instead of applying an iterative method to each of these systems individually, it is often more efficient to use a block version of the method that generates iterates for all the systems simultaneously. In this paper, we propose a block version of generalized minimum backward (GMBACK) for solving large multiple nonsymmetric linear systems. The new method employs the block Arnoldi process to construct a basis for the Krylov subspace K m(A, R 0) and seeks X m∈X 0+K m(A, R 0) to minimize the norm of the perturbation to the data given in A.