Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Two-Dimensional Pilot-Symbol-Aided Channel Estimation by Wiener Filtering
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 3 - Volume 3
Blind and semi-blind channel identification methods using second order statistics for OFDM systems
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05
A statistical subspace method for blind channel identification in OFDM communications
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05
A comparison of pilot-aided channel estimation methods for OFDMsystems
IEEE Transactions on Signal Processing
Exploiting input cyclostationarity for blind channel identificationin OFDM systems
IEEE Transactions on Signal Processing
Performance of channel estimation methods for OFDM systems in a multipath fading channels
IEEE Transactions on Consumer Electronics
Transmission techniques for digital terrestrial TV broadcasting
IEEE Communications Magazine
A high performance parallel Radon based OFDM transceiver design and simulation
Digital Signal Processing
Iterative EM-based channel estimation for STBC-OFDM
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
The performance of multiwavelets based OFDM system under different channel conditions
Digital Signal Processing
Iterative data detection for OFDM systems with unknown narrowband interference
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Near optimal iterative channel estimation for KSP-OFDM
IEEE Transactions on Signal Processing
Iterative Estimation and Equalization for SCCP Over Doubly Selective Channels
Wireless Personal Communications: An International Journal
SAGE Algorithm for Semi-Blind Channel Estimation and Symbol Detection for STBC MIMO OFDM Systems
Wireless Personal Communications: An International Journal
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Estimating a channel that is subject to frequency-selective Rayleigh fading is a challenging problem in an orthogonal frequency division multiplexing (OFDM) system. We propose three EM-based algorithms to effciently estimate the channel impulse response (CIR) or channel frequency response of such a system operating on a channel with multipath fading and additive white Gaussian noise (AWGN). These algorithms are capable of improving the channel estimate by making use of a modest number of pilot tones or using the channel estimate of the previous frame to obtain the initial estimate for the iterative procedure. Simulation results show that the bit error rate (BER) as well as the mean square error (MSE) of the channel can be significantly reduced by these algorithms. We present simulation results to compare these algorithms on the basis of their performance and rate of convergence. We also derive Cramer-Rao-like lower bounds for the unbiased channel estimate, which can be achieved via these EM-based algorithms. It is shown that the convergence rate of two of the algorithms is independent of the length of the multipath spread. One of them also converges most rapidly and has the smallest overall computational burden.