Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Maximum Likelihood Estimation of Compound-Gaussian Clutter and Target Parameters
IEEE Transactions on Signal Processing
Analysis of the Narrowband Interference Effect on OFDM Timing Synchronization
IEEE Transactions on Signal Processing
A robust timing and frequency synchronization for OFDM systems
IEEE Transactions on Wireless Communications
Coarse frame and carrier synchronization of OFDM systems: a new metric and comparison
IEEE Transactions on Wireless Communications
Robust frequency synchronization for OFDM-based cognitive radio systems
IEEE Transactions on Wireless Communications - Part 2
WiMAX femtocells: a perspective on network architecture, capacity, and coverage
IEEE Communications Magazine
IEEE Journal on Selected Areas in Communications
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We consider an orthogonal frequency-division multiplexing (OFDM) system and address the problem of carrier frequency estimation in the presence of narrowband interference (NBI) with unknown power. This scenario is encountered in emerging spectrum sharing systems, where coexistence of different wireless services over the same frequency band may result into a remarkable co-channel interference, and also in digital subscriber line transmissions as a consequence of the cross-talk phenomenon. A possible solution for frequency recovery in OFDM systems plagued by NBI has recently been derived using the maximum-likelihood criterion. Such scheme exhibits good accuracy, but involves a computationally demanding grid-search over the uncertainty frequency range. In the present work, we derive an alternative method that provides frequency estimates in closed-form by resorting to the expectation-maximization algorithm. This makes it possible to achieve some computational saving while maintaining a remarkable robustness against NBI.