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Generic MMSE Decision Directed Channel Estimation for OFDM and MC-CDMA

Generic MMSE Decision Directed Channel Estimation for OFDM and MC-CDMA
Generic MMSE Decision Directed Channel Estimation for OFDM and MC-CDMA
In this letter we propose a Minimum Mean Square Error (MMSE) Channel Impulse Response (CIR) estimator-aided Decision Directed Channel Estimation (DDCE) method, which is suitable for employment in both OFDM and MC-CDMA systems. Firstly, we outline the difficulty associated with the employment of the Least Squares (LS) approach to the problem of a posteriori Frequency Domain Channel Transfer Function (FDCTF) estimation in the context of a MC-CDMA system and derive a suitable MMSE-based CIR estimator, which circumvents the LS method’s deficiencies. Secondly, we demonstrate that the computational complexity associated with the conventional MMSE estimation method is relatively high compared to that of the LS method. Thus a reduced-complexity version of the MMSE estimator is proposed, which has a complexity similar to that exhibited by the LS-aided estimator. The MC-CDMA system using the reduced-complexity MMSE estimator proposed is shown to outperform the corresponding OFDM-based scheme.
Akhtman, Jos
6f612df7-9c17-4351-8340-5171fd174330
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Akhtman, Jos
6f612df7-9c17-4351-8340-5171fd174330
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Akhtman, Jos and Hanzo, Lajos (2004) Generic MMSE Decision Directed Channel Estimation for OFDM and MC-CDMA. Author's Original.

Record type: Article

Abstract

In this letter we propose a Minimum Mean Square Error (MMSE) Channel Impulse Response (CIR) estimator-aided Decision Directed Channel Estimation (DDCE) method, which is suitable for employment in both OFDM and MC-CDMA systems. Firstly, we outline the difficulty associated with the employment of the Least Squares (LS) approach to the problem of a posteriori Frequency Domain Channel Transfer Function (FDCTF) estimation in the context of a MC-CDMA system and derive a suitable MMSE-based CIR estimator, which circumvents the LS method’s deficiencies. Secondly, we demonstrate that the computational complexity associated with the conventional MMSE estimation method is relatively high compared to that of the LS method. Thus a reduced-complexity version of the MMSE estimator is proposed, which has a complexity similar to that exhibited by the LS-aided estimator. The MC-CDMA system using the reduced-complexity MMSE estimator proposed is shown to outperform the corresponding OFDM-based scheme.

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Published date: 2004
Additional Information: Electronic Publication
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 260877
URI: https://eprints.soton.ac.uk/id/eprint/260877
PURE UUID: 8b1e7f60-55d7-4d19-a2ba-1d70a7150661
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 16 May 2005
Last modified: 08 Nov 2018 01:36

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