Blind Recognition of Binary BCH Codes for Cognitive Radios

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.

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Optimal Soft Decision for Cooperative Spectrum Sensing in Cognitive Radio Systems

The Journal of Korean Institute of Electromagnetic Engineering and Science ◽

10.5515/kjkiees.2011.22.4.423 ◽

2011 ◽

Vol 22 (4) ◽

pp. 423-429 ◽

Cited By ~ 5

Author(s):

So-Young Lee ◽

Jin-Young Kim

Keyword(s):

Cognitive Radio ◽

Spectrum Sensing ◽

Cooperative Spectrum Sensing ◽

Soft Decision ◽

Cognitive Radio Systems ◽

Radio Systems

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The Constraints Satisfied to Suppress the Interferences Caused by MB-OFDM UWB Based Cognitive Radio Systems; One Type of Low Density Parity Check(LDPC)-like Modulation Scheme

2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008) ◽

10.1109/crowncom.2008.4562473 ◽

2008 ◽

Author(s):

Cheng Yang ◽

Zheng Zhou ◽

Yabin Ye

Keyword(s):

Cognitive Radio ◽

Modulation Scheme ◽

Low Density ◽

Parity Check ◽

Low Density Parity Check ◽

Cognitive Radio Systems ◽

Radio Systems

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

Entropy ◽

10.3390/e15051705 ◽

2013 ◽

Vol 15 (12) ◽

pp. 1705-1725 ◽

Cited By ~ 10

Author(s):

Jing Zhou ◽

Zhiping Huang ◽

Chunwu Liu ◽

Shaojing Su ◽

Yimeng Zhang

Keyword(s):

Bch Codes ◽

Soft Decision ◽

Blind Recognition

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Simplified LLRs for the Decoding of Single Parity Check Turbo Product Codes Transmitted Using 16QAM

Research Letters in Communications ◽

10.1155/2007/53517 ◽

2007 ◽

Vol 2007 ◽

pp. 1-4 ◽

Cited By ~ 1

Author(s):

Maher Arar ◽

Claude D'Amours ◽

Abbas Yongacoglu

Keyword(s):

Posteriori Probability ◽

Maximum A Posteriori ◽

A Posteriori ◽

Parity Check ◽

Soft Decision ◽

Likelihood Ratios ◽

Product Codes ◽

A Posteriori Probability ◽

Turbo Product Codes ◽

Soft Decision Decoding

Iterative soft-decision decoding algorithms require channel log-likelihood ratios (LLRs) which, when using 16QAM modulation, require intensive computations to be obtained. Therefore, we derive four simple approximate LLR expressions. When using the maximum a posteriori probability algorithm for decoding single parity check turbo product codes (SPC/TPCs), these LLRs can be simplified even further. We show through computer simulations that the bit-error-rate performance of(8,7)2and(8,7)3SPC/TPCs, transmitted using 16QAM and decoded using the maximum a posteriori algorithm with our simplified LLRs, is nearly identical to the one achieved by using the exact LLRs.

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