Adaptive filter theory
Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Matrix computations (3rd ed.)
Maximum Likelihood Estimation of Compound-Gaussian Clutter and Target Parameters
IEEE Transactions on Signal Processing
A comparison of pilot-aided channel estimation methods for OFDMsystems
IEEE Transactions on Signal Processing
OFDM channel estimation in the presence of interference
IEEE Transactions on Signal Processing
Robust frequency synchronization for OFDM-based cognitive radio systems
IEEE Transactions on Wireless Communications - Part 2
Pilot tone selection for channel estimation in a mobile OFDM system
IEEE Transactions on Consumer Electronics
WiMAX femtocells: a perspective on network architecture, capacity, and coverage
IEEE Communications Magazine
IEEE Journal on Selected Areas in Communications
Frame detection and timing acquisition for OFDM transmissions with unknown interference
IEEE Transactions on Wireless Communications
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We investigate the problem of channel estimation in an orthogonal frequency-division multiplexing (OFDM) system plagued by unknown narrowband interference (NBI). Such scenario arises in many practical contexts, including cellular applications and emerging spectrum sharing systems, where coexistence of different types of wireless services over the same frequency band may result into remarkable co-channel interference. Estimation algorithms devised for conventional OFDM transmissions are expected to suffer from significant performance degradation in the presence of NBI. To overcome this difficulty, in the present work we follow a novel pilot-aided approach where the interference power on each pilot subcarrier is treated as a nuisance parameter which is averaged out from the corresponding likelihood function. The latter is then maximized in an iterative fashion according to the expectation-maximization (EM) principle or by applying the Jacobi-Newton algorithm. The resulting schemes have affordable complexity and are inherently robust to NBI. Their accuracy is investigated by means of computer simulations and compared with the relevant Cramer-Rao bound.