西安电子科技大学学报（自然科学版）2019，Vol.46Issue(1)：73-78,6.DOI:10.19665/j.issn1001-2400.2019.01.012
采用最小角回归的稀疏MIMO均衡器设计方法
Design of sparse MIMO equalizers using least angle regression
摘要
Abstract
A new scheme for designing sparse finite impulse response(FIR)decision feedback equalizers (DFE)in multiple input multiple output(MIMO)systems based on the Least Angle Regression(LARS) algorithm is proposed.To decrease the number of nonzero taps for FIR DFE and reduce computational complexity,the problem of designing sparse FIR DFE is transformed into an l1-norm minimization approach,and the proposed design scheme is applied to compute the locations and weights of the nonzero taps for sparse FIR DFE iteratively.Simulation results show that when compared with the optimum Minimum Mean Square Error(MMSE)non-sparse solution for a small given performance loss,the number of nonzero taps for the proposed sparse equalizer design is reduced by more than 70％,while the maximum SNR loss for the proposed sparse equalizer is just about 0.3dB in the Vehicular A channel,which results in an effective trade-off between performance and computational complexity.关键词
多进多出/判决反馈均衡/稀疏表示/最小角回归算法Key words
multiple input multiple output/decision feedback equalization/sparse representation/least angle regression分类
信息技术与安全科学引用本文复制引用
喻丽红,赵加祥..采用最小角回归的稀疏MIMO均衡器设计方法[J].西安电子科技大学学报（自然科学版）,2019,46(1):73-78,6.基金项目
国家自然科学基金(61771262) （61771262）
天津市应用基础与前沿技术研究计划(14JCYBJC16100) （14JCYBJC16100）
