Performance Analysis of the Low-Complexity Adaptive Channel Estimation over Non-Stationary Multipath Rayleigh Fading Channels Under Carrier Frequency Offsets
Sayed A. Hadei (Student Member, IEEE), Paeiz Azmi (Senior Member,, IEEE)

TL;DR
This paper analytically evaluates the performance of low-complexity affine projection algorithms for estimating multipath Rayleigh fading channels with carrier frequency offsets, providing explicit formulas and optimal parameters without simplifying assumptions.
Contribution
It offers a comprehensive, assumption-free analytical performance analysis and optimal stepsize derivation for affine projection algorithms in non-stationary fading channels.
Findings
Theoretical MSE expressions match simulation results.
Optimal stepsize parameters are analytically derived.
Performance remains robust under non-stationary conditions.
Abstract
This paper provides analytical performance of the low-complexity family of affine projection algorithms on the estimation of multipath Rayleigh fading channels in the presence of carrier frequency offsets (CFO) and random channel variations. Our analysis is based on the calculation of the error correlation matrix of the estimation, the mean-square weight error (MSWE) and the mean-square estimation error (MSE) parameters. The analysis does not use strong assumptions like small or large step-size, and explicit closed-form expressions for the MSE of estimation are obtained only from common hypotheses in wireless communication context. In this paper, the optimum stepsize parameters minimizing the MSE of estimation are analytically derived without any simplified assumptions. For the sake of comparison with other analytical approaches, we also investigate the performance of the introduced…
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Taxonomy
TopicsAdvanced Wireless Communication Techniques · Wireless Communication Networks Research · Advanced Wireless Network Optimization
