Abstract
A novel algorithm of blind recognition of Bose-Chaudhuri-Hocquenghem (BCH) codes is proposed to solve the problem of Adaptive Coding and Modulation (ACM) in cognitive radio systems. The recognition algorithm is based on soft decision situations. The code length is firstly estimated by comparing the Log-Likelihood Ratios (LLRs) of the syndromes, which are obtained according to the minimum binary parity check matrixes of different primitive polynomials. After that, by comparing the LLRs of different minimum polynomials, the code roots and generator polynomial are reconstructed. When comparing with some previous approaches, our algorithm yields better performance even on very low Signal-Noise-Ratios (SNRs) with lower calculation complexity. Simulation results show the efficiency of the proposed algorithm.
Highlights
Adaptive Coding and Modulation (ACM) technique is one of the most important techniques of cognitive radio networks for the intelligent communications [1,2,3,4]
In [21,22,23,24], the authors introduce a Maximum A Posteriori Probability (MAP) approach to achieve blind frame synchronization of some error-correcting codes and yield better performance than previous hard decision ones. Inspired by this idea and those previous works, we develop a soft-decision-based algorithm to achieve blind recognition of BCH codes for a cognitive radio system without building a reliable channel to transmit coding parameters
We consider that for different code length the number of elements of syndromes and rows of parity check matrices is different, which affects the comparability of Likelihood Ratios (LLRs) with different code length
Summary
Adaptive Coding and Modulation (ACM) technique is one of the most important techniques of cognitive radio networks for the intelligent communications [1,2,3,4]. Instead of fixed coding and modulation systems, the intelligent communication systems choose the optimized transmission parameters to increase the flexibility and spectrum efficiency and achieve high reliability and quality of service (QoS). In [21,22,23,24], the authors introduce a Maximum A Posteriori Probability (MAP) approach to achieve blind frame synchronization of some error-correcting codes and yield better performance than previous hard decision ones. Inspired by this idea and those previous works, we develop a soft-decision-based algorithm to achieve blind recognition of BCH codes for a cognitive radio system without building a reliable channel to transmit coding parameters.
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