Next Article in Journal
Previous Article in Journal
Entropy 2013, 15(5), 1705-1725; doi:10.3390/e15051705
Article

Information-Dispersion-Entropy-Based Blind Recognition of Binary BCH Codes in Soft Decision Situations

* ,
,
,
 and
Received: 18 March 2013; in revised form: 24 April 2013 / Accepted: 1 May 2013 / Published: 8 May 2013
Download PDF [301 KB, uploaded 8 May 2013]
Abstract: A method of blind recognition of the coding parameters for binary Bose-Chaudhuri-Hocquenghem (BCH) codes is proposed in this paper. We consider an intelligent communication receiver which can blindly recognize the coding parameters of the received data stream. The only knowledge is that the stream is encoded using binary BCH codes, while the coding parameters are unknown. The problem can be addressed on the context of the non-cooperative communications or adaptive coding and modulations (ACM) for cognitive radio networks. The recognition processing includes two major procedures: code length estimation and generator polynomial reconstruction. A hard decision method has been proposed in a previous literature. In this paper we propose the recognition approach in soft decision situations with Binary-Phase-Shift-Key modulations and Additive-White-Gaussian-Noise (AWGN) channels. The code length is estimated by maximizing the root information dispersion entropy function. And then we search for the code roots to reconstruct the primitive and generator polynomials. By utilizing the soft output of the channel, the recognition performance is improved and the simulations show the efficiency of the proposed algorithm.
Keywords: information dispersion entropy; blind recognition; channel coding; BCH codes; adaptive coding and modulation (ACM) information dispersion entropy; blind recognition; channel coding; BCH codes; adaptive coding and modulation (ACM)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Zhou, J.; Huang, Z.; Liu, C.; Su, S.; Zhang, Y. Information-Dispersion-Entropy-Based Blind Recognition of Binary BCH Codes in Soft Decision Situations. Entropy 2013, 15, 1705-1725.

AMA Style

Zhou J, Huang Z, Liu C, Su S, Zhang Y. Information-Dispersion-Entropy-Based Blind Recognition of Binary BCH Codes in Soft Decision Situations. Entropy. 2013; 15(5):1705-1725.

Chicago/Turabian Style

Zhou, Jing; Huang, Zhiping; Liu, Chunwu; Su, Shaojing; Zhang, Yimeng. 2013. "Information-Dispersion-Entropy-Based Blind Recognition of Binary BCH Codes in Soft Decision Situations." Entropy 15, no. 5: 1705-1725.


Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert