A switching norm based least mean Square/Fourth adaptive technique for sparse channel estimation and echo cancellation

IF 2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication Pub Date : 2024-08-29 DOI:10.1016/j.phycom.2024.102482

Ansuman Patnaik, Sarita Nanda

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引用次数: 0

Abstract

To realize rapid data transmission, the broadband transmission technique is being extensively explored and applied in existing wireless communication systems. The multi-path channel in broadband wireless communication systems is sparse and this sparsity can be used as prior knowledge to estimate the channel. To make use of sparsity, this paper recommends a switching norm-based least mean square/fourth (SN-LMS/F) adaptive approach for sparse channel estimation and echo cancellation. The suggested SN-LMS/F is implemented by adding a soft parameter adjustment function (SPF) into the conventional LMS/F adaptive method's cost function and utilizes both the $l_{0}$ and $l_{1}$ norm to exploit system sparsity with reduced complexity. The simulated output indicates that the suggested SN-LMS/F adaptive technique provides a more desirable performance for sparse channel estimation and echo cancellation with reduced execution time.

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基于切换规范的最小均方/四次自适应技术，用于稀疏信道估计和回声消除

为了实现快速数据传输，宽带传输技术在现有的无线通信系统中得到了广泛的探索和应用。宽带无线通信系统中的多径信道是稀疏的，这种稀疏性可以用作估计信道的先验知识。为了利用稀疏性，本文推荐了一种基于交换规范的最小均方/四次方（SN-LMS/F）自适应方法，用于稀疏信道估计和回声消除。建议的 SN-LMS/F 是通过在传统 LMS/F 自适应方法的成本函数中添加软参数调整函数 (SPF) 来实现的，它同时利用 l0 和 l1 准则来利用系统稀疏性，并降低了复杂性。仿真结果表明，建议的 SN-LMS/F 自适应技术在稀疏信道估计和回声消除方面提供了更理想的性能，并缩短了执行时间。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS

CiteScore

5.00

自引率

9.10%

发文量

212

审稿时长

55 days

期刊介绍： PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published. Topics of interest include but are not limited to: Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.