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Title: Turbo channel estimation and equalization for a superposition-based cooperative system
Authors: Gong, Yu
Ding, Zhiguo D.
Ratnarajah, T.
Cowan, Colin F.
Keywords: Cooperative diversity
Channel estimation
Turbo equalization
Superimposed training
Issue Date: 2009
Publisher: © The Institution of Engineering and Technology
Citation: GONG, Y. ... et al, 2009. Turbo channel estimation and equalization for a superposition-based cooperative system. IET Communications, 3 (11), pp. 1790-1799.
Abstract: This study investigates the superposition-based cooperative transmission system. In this system, a key point is for the relay node to detect data transmitted from the source node. This issued was less considered in the existing literature as the channel is usually assumed to be flat fading and a priori known. In practice, however, the channel is not only a priori unknown but subject to frequency selective fading. Channel estimation is thus necessary. Of particular interest is the channel estimation at the relay node which imposes extra requirement for the system resources. The authors propose a novel turbo least-square channel estimator by exploring the superposition structure of the transmission data. The proposed channel estimator not only requires no pilot symbols but also has significantly better performance than the classic approach. The soft-in-soft-out minimum mean square error (MMSE) equaliser is also re-derived to match the superimposed data structure. Finally computer simulation results are shown to verify the proposed algorithm.
Description: This paper is a postprint of a paper submitted to and accepted for publication in IET Communications and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library.
Version: Accepted for publication
DOI: 10.1049/iet-com.2008.0730
URI: https://dspace.lboro.ac.uk/2134/25670
Publisher Link: http://dx.doi.org/10.1049/iet-com.2008.0730
ISSN: 1751-8628
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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