Bootstrapped Iterative Decoding Algorithms for Low Density Parity Check (LDPC) Codes

Author(s):  
Albashir Adel Mohamed ◽  
Maha Mohamed Elsabrouty ◽  
Salwa Hussien El-Ramly
2013 ◽  
Vol 340 ◽  
pp. 471-475
Author(s):  
Fei Zhong ◽  
Shu Xu Guo

To improve upon the Low-Density Parity-Check (LDPC) codes , incorporating compressed sensing (CS) and information redundancy, a new joint decoding algorithm frame is presented. The proposed system exploits the information redundancy by CS reconstruction during the iterative decoding process to correct decoding of LDPC codes. The simulation results show that the algorithm presented can improve system decoding performance and obviously make bit error ratio (BER) lower then traditional LDPC codes. In addition, a relatively short argument is given on different CS reconstructed algorithms in proposed system, the new design is shown to benefit from different CS reconstructed algorithms.


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