Principles and practice of information theory
Principles and practice of information theory
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
Design and analysis of successive decoding with finite levels for the Markov channel
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Capacity of noncoherent time-selective Rayleigh-fading channels
IEEE Transactions on Information Theory
A Successive Decoding Strategy for Channels With Memory
IEEE Transactions on Information Theory
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This paper examines ways of improving channel estimation using successive decoding for the time varying frequency selective fading channel in a point to point wireless communication system. The channel state information (CSI) is not known a priori at either the transmitter or the receiver. The paper first presents the conventional pilot-symbol aided channel estimation (PACE) scheme and then the sequential successive decoding scheme. The conventional PACE scheme involves a big loss in achievable rates, while the sequential successive decoding scheme has a large delay. Finally, these two schemes are compared with three interleaved pilot schemes, in which interleaved codewords are decoded successively. These interleaved pilot schemes have significantly reduced delays, but still maintain good achievable rates.