Despread-ahead cyclic-prefix code division multiple access receiver with compressive sensing channel impulse response estimation

NCUIR > College of Electrical Engineering & Computer Science > Department of Communication Engineering > journal & Dissertation > Item 987654321/105913

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/105913

Title:	Despread-ahead cyclic-prefix code division multiple access receiver with compressive sensing channel impulse response estimation
Authors:	張大中;Chang, Dah-Chung;Wu, Ruo-Yu
Contributors:	資訊電機學院通訊工程學系
Keywords:	Algorithms;Cancellation;channel estimation;channel impulse response estimation;Channels;CIR estimation;code despreader;code division multiple access;compressed sensing;compressive sensing;CP‐CDMA receiver;cyclic codes;decision feedback equalisation method;decision feedback equalisers;despread‐ahead cyclic‐prefix code division multiple access;discrete Fourier transform;discrete Fourier transforms;equivalent symbol‐rate channel model;FDE;frequency domain equaliser;high‐resolution interpolation kernels;Impulse response;interference suppression;Interpolation;Iterative methods;iterative two‐stage multiuser icancellation algorithm;Mathematical models;radio receivers;Receivers;symbol‐rate equaliser;transient response
Date:	2014-01-01
Issue Date:	2026-04-23 13:00:48 (UTC+8)
Publisher:	Institution of Engineering and Technology;Stevenage: The Institution of Engineering and Technology
Abstract:	摘要： The conventional cyclic-prefix code division multiple access (CP-CDMA) system usually requires a chip-rate frequency-domain equaliser (FDE) at the cost of a tremendous discrete Fourier transform (DFT) size. To reduce the required DFT size in the CP-CDMA uplink receiver, this work studies a new symbol-rate equaliser moving the code despreader ahead of the FDE. The authors formulate the composite effect of the chip-rate channel impulse response (CIR) and code despreading as an equivalent symbol-rate channel model together with a small additive noise. Then, an iterative two-stage multiuser interference (MUI) cancellation algorithm can be employed with the decision feedback equalisation method. In addition, a novel compressive sensing (CS)-based interpolation method is proposed for compressible CIR estimation to be used in the MUI cancellation algorithm. With the CS method, the DFT size is dramatically reduced for channel estimation and no high-resolution interpolation kernels are required. The numerical results show that the new receiver is effective on MUI cancellation and only a couple of iterations are required to achieve a performance similar to the chip-rate equaliser. 出版者： Stevenage: The Institution of Engineering and Technology 出版日期： 2014-05 出處： IET communications, 2014-05, Vol.8 (8), p.1425-1435 資源來源： Wiley Online Library Journals [OA] Open Access 版權： The Institution of Engineering and Technology 版權： 2021 The Institution of Engineering and Technology 版權： Copyright The Institution of Engineering & Technology May 2014 識別號： ISSN: 1751-8628 識別號： ISSN: 1751-8636 識別號： EISSN: 1751-8636 識別號： DOI: 10.1049/iet-com.2013.0487
Appears in Collections:	[Department of Communication Engineering] journal & Dissertation

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