SIMO-MUSA系统下的块稀疏多用户检测算法
Block Sparse Multiuser Detection Algorithm in SIMO-MUSA System
摘要
对于上行免调度的多用户共享接入(MUSA)方案, 用户具备随机突发接入系统的特性, 用户信号具有稀疏性, 可利用压缩感知的相关算法进行多用户检测。针对活跃用户数未知的情况, 文章提出了基于验证误差的正交匹配追踪(VE-OMP)多用户检测算法。所提算法利用误差在迭代次数等于用户稀疏度时能够达到最小值来估计稀疏度, 且验证误差的思想移植性强, 可用于块稀疏压缩感知。考虑基站端配备多天线的情况, 将发送信号转为块稀疏模型, 提出验证误差的块稀疏正交匹配追踪(VE-BOMP)算法进行活跃用户数据检测。仿真结果表明, VE-OMP算法能够在稀疏度未知的情况下对多用户同时进行活跃性估计和数据检测, VE-BOMP算法可用于多天线接收系统, 其检测性能随天线数的增加而提高。
Abstract
For the uplink grant-free Multi-User Shared Access (MUSA) scheme, the user has the characteristics of access system randomly, and the user signal has sparseness, which can use the relevant algorithm of compression perception for multi-user detection. In view of the unknown number of active users, a multi-user detection algorithm based on Validation Error Orthogonal Matching Pursuit (VE-OMP) is proposed. The proposed algorithm can estimate the sparsity by using the error to reach the minimum value when the number of iterations is equal to the user’s sparsity. It is also noted that the idea of verifying the error has strong portability, which can be used for block sparse compression sensing. Considering that the base station is equipped with multiple antennas, the transmission signal is transformed into a block sparse model. A Validation Error Block Sparse Orthogonal Matching Pursuit (VE-BOMP) algorithm is also proposed to detect active user data. The simulation results show that the VE-OMP algorithm can jointly detect the activity and data of the users under the condition of unknown sparsity. The VE-BOMP algorithm can also be used in multi antenna receiving system, and its detection performance increases with the increase of the number of antennas.
陈发堂, 石贝贝, 邓青. SIMO-MUSA系统下的块稀疏多用户检测算法[J]. 光通信研究, 2020, 46(5): 73. CHEN Fa-tang, SHI Bei-bei, DENG Qing. Block Sparse Multiuser Detection Algorithm in SIMO-MUSA System[J]. Study On Optical Communications, 2020, 46(5): 73.