Maximum-Likelihood Priority-First Search Decodable Codes for Combined Channel Estimation and Error Correction

The coding technique that combines channel estimation and error correction has received attention recently, and has been regarded as a promising approach to counter the effects of multipath fading. It has been shown by simulation that a proper code design that jointly considers channel estimation ca...

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Bibliographic Details
Published in:	IEEE transactions on information theory Vol. 55; no. 9; pp. 4191 - 4203
Main Authors:	Chia-Lung Wu, Po-Ning Chen, Han, Y.S., Ming-Hsin Kuo
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.09.2009 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Applied sciences Channel coding Channel estimation Channels Codes Coding Coding, codes Complexity Computational modeling Computer simulation Construction Counting circuits Decoding Detection, estimation, filtering, equalization, prediction Error correction Error correction codes Estimating techniques Exact sciences and technology Fading fading channels frequency-selective fading Information theory Information, signal and communications theory Maximum likelihood decoding Maximum likelihood estimation Maximum likelihood method MIMO multipath channels Searching sequential decoding Signal and communications theory Signal, noise Simulation System performance Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Fading channels Performance evaluation Estimation error Parameter estimation Channel coding Sequential decoding Multipath channels Search algorithm Maximum likelihood decoding Selective fading Frequency selection Simulation frequency-selective fading Channel estimation Algorithm complexity Simulated annealing Recursive method Metric Error correction Maximum likelihood Computer codes
ISSN:	0018-9448, 1557-9654
Online Access:	Get full text
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