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引用次数: 35
摘要
本文采用改进的2位最小和算法,在FPGA上设计并实现了一种低复杂度的低密度奇偶校验(LDPC)解码器。仿真结果表明,与原2位最小和算法相比,该算法在10-5比特误码率下的译码精度提高了1.5 dB Eb/No,译码迭代次数减少。采用改进的2位最小和算法实现的解码器,其误码率性能与3位最小和算法相当,节省了约18%的FPGA片数,在4 dB Eb/No时平均吞吐量可达到10.2 Gbps。
FPGA Implementation of High Performance LDPC Decoder Using Modified 2-Bit Min-Sum Algorithm
In this paper, a reduced complexity Low-Density Parity-Check (LDPC) decoder is designed and implemented on FPGA using a modified 2-bit Min-Sum algorithm. Simulation results reveal that the proposed decoder has improvement of 1.5 dB Eb/No at 10-5 bit error rate (BER) and requires fewer decoding iterations compared to original 2-bit Min-Sum algorithm. With a comparable BER performance to that of 3- bit Min-Sum algorithm, the decoder implemented using modified 2-bit Min-Sum algorithm saves about 18% of FPGA slices and can achieve an average throughput of 10.2 Gbps at 4 dB Eb/No.