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FPGA implementation of min-sum algorithm for LDPC decoder

机译:LDPC解码器最小和算法的FPGA实现

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Low-density parity-check codes (LDPC) are among the most powerful error correcting tools today available. In this paper, it has aimed a Field Programmable Gate Array (FPGA) implementation of LDPC decoder with less complexity. The proposed decoding structure reduces complexity of the check node unit (CNU) and the variable node unit (VNU) based on min-sum (MS) algorithm, thereby achieving less slice resources. A multiplexed storage structure is used for the storage of node messages which results in less slice resources. Hardware resources act as a crucial factor in many applications like deep space communications and its efficient utilization is an area which is highly explored. Both high performance and low complexity are expected from LDPC decoders used in space data systems. This low-complexity implementation is an efficient method to achieve the requirements put forward by many wired and wireless communication systems.
机译:低密度奇偶校验码(LDPC)是当今可用的最强大的纠错工具。本文旨在以较低的复杂度实现LDPC解码器的现场可编程门阵列(FPGA)实现。所提出的解码结构基于最小和(MS)算法降低了校验节点单元(CNU)和可变节点单元(VNU)的复杂度,从而实现了更少的切片资源。多路复用存储结构用于存储节点消息,从而减少了片资源。硬件资源在诸如深空通信之类的许多应用中起着至关重要的作用,其有效利用是一个受到高度探索的领域。空间数据系统中使用的LDPC解码器期望高性能和低复杂度。这种低复杂度的实现是一种有效的方法,可以满足许多有线和无线通信系统提出的要求。

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