Universiti Teknologi Malaysia Institutional Repository

Exploiting 2-dimensional source correlation in channel decoding with parameter estimation

Mohd. Nor, Muhammad Izzat Amir and Mohd. Izhar, Mohd. Azri and Ahmad, Norulhusna and Md. Kaidi, Hazilah (2018) Exploiting 2-dimensional source correlation in channel decoding with parameter estimation. International Journal of Electrical and Computer Engineering, 8 (4). pp. 2633-2642. ISSN 2088-8708


Official URL: http://ijece.iaescore.com/index.php/IJECE


Traditionally, it is assumed that source coding is perfect and therefore, the redundancy of the source encoded bit-stream is zero. However, in reality, this is not the case as the existing source encoders are imperfect and yield residual redundancy at the output. The residual redundancy can be exploited by using Joint Source Channel Coding (JSCC) with Markov chain as the source. In several studies, the statistical knowledge of the sources has been assumed to be perfectly available at the receiver. Although the result was better in terms of the BER performance, practically, the source correlation knowledge were not always available at the receiver and thus, this could affect the reliability of the outcome. The source correlation on all rows and columns of the 2D sources were well exploited by using a modified Bahl-Cocke-Jelinek-Raviv (BCJR) algorithm in the decoder. A parameter estimation technique was used jointly with the decoder to estimate the source correlation knowledge. Hence, this research aims to investigate the parameter estimation for 2D JSCC system which reflects a practical scenario where the source correlation knowledge are not always available. We compare the performance of the proposed joint decoding and estimation technique with the ideal 2D JSCC system with perfect knowledge of the source correlation knowledge. Simulation results reveal that our proposed coding scheme performs very close to the ideal 2D JSCC system.

Item Type:Article
Uncontrolled Keywords:joint source channel coding, parameter estimation
Subjects:T Technology > T Technology (General)
Divisions:Razak School of Engineering and Advanced Technology
ID Code:81915
Deposited By: Siti Nor Hashidah Zakaria
Deposited On:30 Sep 2019 13:04
Last Modified:30 Sep 2019 13:04

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