Blind Reconstruction of BCH Encoder over Erroneous Channel Conditions

Abstract

Channel coding improves the error performance of digital communication systems. Blind parameter estimation of channel codes plays an important role in military communication systems. Further, it also provides some additional advantages in adaptive modulation and coding (AMC)-based systems, re- configurable receiver systems, etc. In this paper, we propose blind estimation algorithms to estimate the codeword length, code dimension, and generator polynomial of Bose-Chaudhuri- Hocquenghem (BCH) codes at the receiver over erroneous channel conditions assuming a non-cooperative scenario. The simulations are carried out on many test cases to validate the proposed blind estimation algorithms and the results are given to testify the algorithms. We infer that the probability of correct estimation of parameters increases with decrease in codeword length. Finally, it is also inferred that the proposed algorithm performs better than the existing algorithms reported in the literature. © 2022 IEEE.