Channel Estimation Algorithms for OFDM-IDMA: Complexity and Performance

In this paper, a number of channel estimation algorithms for iterative receivers are compared for the case of an up-link orthogonal frequency division multiplexing interleave division multiple access (OFDM-IDMA) system. Both pilot based algorithms, used to obtain an initial estimate, as well as semi...

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Bibliographic Details
Published in:IEEE transactions on wireless communications Vol. 11; no. 5; pp. 1722 - 1732
Main Authors: Hammarberg, P., Rusek, F., Edfors, O.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.05.2012
Institute of Electrical and Electronics Engineers
Subjects:
algorithm complexity
Applied sciences
Channel estimation
Complexity theory
Detection, estimation, filtering, equalization, prediction
discrete prolate spheroidal (DPS) sequences
Electrical Engineering, Electronic Engineering, Information Engineering
Elektroteknik och elektronik
Engineering and Technology
Exact sciences and technology
expectation maximization (EM)
Information, signal and communications theory
Interference
Multiplexing
Noise
OFDM
OFDM-IDMA
Receivers
SAGE
Signal and communications theory
Signal, noise
Systems, networks and services of telecommunications
Teknik
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
Vectors
Performance evaluation
Multiple access
Parameter estimation
Interlacing
OFDM-IDMA
Iterative method
SAGE
Review
expectation maximization (EM)
discrete pro-late spheroidal (DPS) sequences
Mean square error
Channel estimation
Algorithm complexity
Orthogonal frequency division multiplexing
EM algorithm
Uplink
Signal to noise ratio
ISSN:1536-1276
Online Access:Get full text
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Description
Summary:In this paper, a number of channel estimation algorithms for iterative receivers are compared for the case of an up-link orthogonal frequency division multiplexing interleave division multiple access (OFDM-IDMA) system. Both pilot based algorithms, used to obtain an initial estimate, as well as semi-blind decision-directed algorithms working as a component of the iterative receiver are considered. Algorithms performing either joint minimum mean square error (MMSE) channel estimation, or iterative estimation using space-alternating expectation maximization (SAGE), are evaluated. The considered algorithms differ in terms of complexity, as well as performance. The main contribution of this paper is to give an overview of different channel estimation approaches for OFDM-IDMA, where the complexity versus performance tradeoff is at the focal point. There is no single channel estimator providing the best tradeoff and our analysis shows how the system load (number of users) and the SNR influence the estimator choice.
ISSN:1536-1276
DOI:10.1109/TWC.2012.030512.110426