Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Parameter Estimation and Error Reduction for OFDM-Based WLANs
IEEE Transactions on Mobile Computing
The Variational Inference Approach to Joint Data Detection and Phase Noise Estimation in OFDM
IEEE Transactions on Signal Processing
Joint estimation of channel response, frequency offset, and phase noise in OFDM
IEEE Transactions on Signal Processing
Phase Noise Estimation and Mitigation for OFDM Systems
IEEE Transactions on Wireless Communications
Exploiting the 60 GHz band for local wireless multimedia access: prospects and future directions
IEEE Communications Magazine
Design considerations for 60 GHz CMOS radios
IEEE Communications Magazine
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A low-complexity decision-directed iterative scheme is proposed for the estimation and mitigation of strong phase noise plus frequency offset in OFDM-modulated signals, transmitted over frequency-selective or frequency-flat channels. It is based on a time-domain, windowed least-squares estimation algorithm of the total phase perturbation vector, developed through proper system modeling and optimized so as to minimize the residual inter-carrier interference. An extension of the diagonal-loading technique is also introduced in order to enhance the convergence of the algorithm in high-SNR regimes. The resulting scheme outperforms previously proposed approaches in terms of achievable error rate in the data-detection stage while, in the channel-estimation stage, it attains performance near the Cramer-Rao bound with comparatively smaller computational complexity.