Abstract
An escape method for the local optima of the gradient descent bit‐flipping (GDBF) algorithm for decoding low‐density parity‐check codes is proposed. In the GDBF algorithm, a search point is likely to be trapped in a local optimum, which causes performance degradation of the algorithm. To address this issue, we introduce a list to store the frequency of visits to each local optimum and devise a strategy to increase the distance of a search point from a local optimum with respect to the frequency. © 2015 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
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