采用最小角回归的稀疏MIMO均衡器设计方法

doi:10.19665/j.issn1001-2400.2019.01.012

西安电子科技大学学报 ›› 2019, Vol. 46 ›› Issue (1): 73-78.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

喻丽红¹,赵加祥²

^1. 南开大学计算机与控制工程学院,天津 300350
^2. 南开大学电子信息与光学工程学院,天津 300350

收稿日期:2018-04-05 出版日期:2019-02-20 发布日期:2019-03-05
作者简介:喻丽红(1988-),女,南开大学博士研究生,E-mail: yulihongfly@mail.nankai.edu.cn
基金资助:
国家自然科学基金(61771262);天津市应用基础与前沿技术研究计划(14JCYBJC16100)

Design of sparse MIMO equalizers using least angle regression

YU Lihong¹,ZHAO Jiaxiang²

^1. College of Computer and Control Engineering, Nankai University, Tianjin 300350, China
^2. College of Electronic Information and Optical Engineering, Nankai University, Tianjin 300350, China

Received:2018-04-05 Online:2019-02-20 Published:2019-03-05

摘要/Abstract

摘要：

为减少均衡器非零抽头数,降低计算复杂度,该文将多进多出系统稀疏有限冲激响应判决反馈均衡器设计问题转化为l₁范数最小化问题,并提出利用最小角回归算法迭代计算稀疏判决反馈均衡器非零抽头位置和权重。仿真结果表明,在给定较小的性能损失下,相比最小均方误差准则的非稀疏最优均衡器,在相同的误比特率下,所提方法设计的稀疏判决反馈均衡器在车载移动A信道中的最大信噪比损失约为0.3dB,而其非零抽头数目减少超过70%,达到了性能与计算复杂度的有效权衡。

关键词: 多进多出, 判决反馈均衡, 稀疏表示, 最小角回归算法

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.

Key words: multiple input multiple output, decision feedback equalization, sparse representation, least angle regression

中图分类号:

TN92

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, 2019, 46(1): 73-78.

YU Lihong,ZHAO Jiaxiang. Design of sparse MIMO equalizers using least angle regression[J]. Journal of Xidian University, 2019, 46(1): 73-78.

图/表 3

参考文献 13

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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

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