In this paper a new decoding algorithm for low density parity check (LDPC) codes based on bit flipping (BF) is proposed. In the proposed algorithm, the BF criterion benefits the data correlation between the decoded and received signal in current and previous stages. The proposed algorithm also degrades the decoding probability of one code word to another one in the same codebook. Simulation results confirm our theoretical formulation and show a good enhancement in code error rate and bit error rate of the proposed decoding algorithm compared to the conventional ones.
In this paper three different scenarios in wide band spectrum sensing have been studied. While the signal and noise statistics are supposed to be unspecified, random matrixes have been utilized in order to estimate the noise variance. These scenarios are: 1-Number of subbands is specified and there is enough information regarding being used or being unused for each of them. 2-Number of subbands is known but there is no information about usage distribution among them. 3-Number of subbands is unknown. Simulation results showed the superior performance of the proposed scheme. Regarding the number of samples, the proposed method requires less number of samples compared to the cyclo-stationary spectrum sensing algorithms and more samples compared to the energy detection based methods. But, regarding the detection probability, the proposed method is superior compared to both other spectrum sensing methods.
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