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An adaptive analog low-density parity-check decoder based on margin propagation

机译:基于余量传播的自适应模拟低密度奇偶校验解码器

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One of the key factors underlying the popularity of low-density parity-check (LDPC) codes is its iterative decoding algorithm which is amenable to efficient analog and digital implementation. However, different applications of LDPC codes (e.g. wireless sensor networks) impose different sets of constraints which include speed, bit error rates (BER) and energy efficiency. Our previous work reported an algorithmic framework for designing margin propagation (MP) based LDPC decoders where the BER performance can be traded off with its energy efficiency. In this paper we present an analog current-mode implementation of an MP-based (32; 8) LDPC decoder. The implementation uses only addition, subtraction and threshold operations and hence is independent of transistor biasing and robust to variations in environmental conditions (e.g. temperature). Measured results from prototypes fabricated in a 0.5µm CMOS process verify the functionality of a (32; 8) LDPC decoder and demonstrate superior BER performance compared to the state-of-the-art analog min-sum decoder at SNR greater than 3.5 dB.
机译:低密度奇偶校验(LDPC)代码的普及背后的关键因素之一是其迭代解码算法,该算法适用于有效的模拟和数字实现。但是,LDPC码的不同应用(例如无线传感器网络)施加了不同的约束集,其中包括速度,误码率(BER)和能效。我们以前的工作报告了一种算法框架,该算法框架用于设计基于余量传播(MP)的LDPC解码器,其中BER性能可以与其能效进行权衡。在本文中,我们介绍了基于MP(32; 8)的LDPC解码器的模拟电流模式实现。该实现仅使用加法,减法和阈值运算,因此与晶体管偏置无关,并且对环境条件(例如温度)的变化具有鲁棒性。用0.5µm CMOS工艺制造的原型的测量结果验证了(32; 8)LDPC解码器的功能,并在SNR大于3.5 dB的情况下,与最新的模拟最小和解码器相比,具有出色的BER性能。

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