Ming Ruan

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—This paper studies fractional carrier frequency offset (CFO) estimation for orthogonal frequency-division multiplex-ing (OFDM) systems. In the IEEE 802.16 (WiMAX) standard, a training symbol structure with three highly correlated but not identical segments is specified. The existing CFO estimation methods require the segments in the training symbol to be(More)
—In orthogonal frequency division multiplexing (OFDM) systems, coarse frame timing can be acquired from one or more training symbols preceding every OFDM burst. The existing literature studied the case where there was only one training symbol consisting of identical segments. We generalize the timing synchronization methods to take advantage of multiple(More)
This paper proposes a high-performance and relatively low-complexity approximated maximum likelihood estimator (MLE) for carrier frequency offset (CFO) in practical orthogonal frequency multiplexing (OFDM) systems, where the preamble has repetition structure in time domain, null subcarriers are allocated at two ends of the frequency spectrum, and the(More)
This paper presents an efficient particle filtering algorithm for Turbo equalization. It approximates the maximum a posteriori (MAP) equalizer performance with low computational complexity. By grouping the identical trajectories of particles, we improve the efficiency of conventional particle filters and manage to work with large number of trajectories(More)
This paper presents a novel design method for a spatially interpolated beamformer. By separating the design of the physical antenna array and the digital signal processors, we remove the restriction on the half-wavelength spacing requirement to a uniform linear array to achieve higher efficiency. To be more realistic, however, we fix the element positions(More)
— This paper studies carrier frequency offset (CFO) estimation in practical orthogonal frequency-division multiplex-ing (OFDM) systems like IEEE 802.16. The estimator derived in this paper exploits channel statistical information, so it outperforms the conventional maximum likelihood estimators when the signal to noise ratio is low. In practical OFDM(More)
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