In this paper the Bit Error Rate (BER) performance of different bit flipping algorithms used for decoding of Low Density Parity Check (LDPC) code is compared. These algorithms mainly depend on inversion function. Through simulation results the Noisy Gradient Descent Bit flipping (NGDBF) algorithm is proved to be best till date. This algorithm provides the best BER performance, for Smoothed Noisy Gradient Descent Bit flipping (SM-NGDBF) algorithm we can obtain BER 4.86×10-4 at 3.5db. The Multi Noisy Gradient Descent Bit flipping (M-NGDBF) algorithm requires the least number of iterations than the other algorithms proposed for decoding a codeword.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.