Understanding digital subscriber line technology
Understanding digital subscriber line technology
Channel estimation in OFDM systems with unknown interference
IEEE Transactions on Wireless Communications
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
ML estimation of time and frequency offset in OFDM systems
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
Narrowband interference in pilot symbol assisted OFDM systems
IEEE Transactions on Wireless Communications
A GLRT approach to data-aided timing acquisition in UWB radios-Part I: algorithms
IEEE Transactions on Wireless Communications
WiMAX femtocells: a perspective on network architecture, capacity, and coverage
IEEE Communications Magazine
IEEE Journal on Selected Areas in Communications
Maximum likelihood synchronization for OFDM using a pilot symbol: algorithms
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
GLRT Approach for Performance Improvement in Practical Burst Packet Acquisition with AGC Amplifier
Wireless Personal Communications: An International Journal
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Frame detection and timing acquisition are challenging tasks in orthogonal frequency-division multiplexing systems plagued by narrowband interference (NBI). Most existing solutions operate in the time domain by exploiting the repetitive structure of a training symbol and suffer from considerable performance loss in the presence of NBI. In this work, a novel solution in which frame detection is accomplished in the frequency domain on the basis of a suitable likelihood ratio test is presented. In order to increase the resilience to NBI, the interference power is treated as a nuisance parameter that is averaged out from the corresponding likelihood functions. The resulting test statistic depends on the fractional carrier frequency offset (CFO), which is easily estimated. An alternative scheme that dispenses from CFO estimation is also proposed. After frame detection, the test statistic is employed as a timing metric to accurately locate the position of the training symbol within the received data stream. Computer simulations indicate that the proposed solutions are remarkably robust to NBI and outperform existing alternatives in a severe interference scenario. The price for this advantage is a substantial increase in the computational burden.