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设计和实施一个高效的近循环低密度平价检查接收系统,使用重叠解码器
Yuxuan Sun1, Liangbin Zhao1, Jianguo Li2
1School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China.
Sensors (Basel, Switzerland)
|September 28, 2023
概括
本研究介绍了一种新的低密度平价检查 (LDPC) 代码结构和重叠解码策略,以提高传感器网络的吞吐量和减少资源使用. 新设计显著提高了性能,同时降低了功耗.
科学领域:
- 信息理论 信息理论
- 数字通信数字通信
- 计算机工程 计算机工程
背景情况:
- 传统的低密度平价检查 (LDPC) 编码和解码系统受到低吞吐量和高资源需求的影响.
- 这些局限性使得它们不适合成本高效,节能传感器网络.
研究的目的:
- 为优化LDPC系统的编码复杂性和吞吐量.
- 开发一种新的LDPC代码结构和重叠的解码策略的综合设计.
主要方法:
- 为最大限度地重叠和并行解码,构建了一个类似CCSDS的准循环平价检查矩阵 (PCM).
- 采用修改后的2位最小和算法 (MSA) 进行解码,在10-6 BER时获得5dB的编码收益.
- 实施基于转移注册表的内存调度策略,以利用准周期性质并减少延迟.
主要成果:
- 经过修改的MSA解码器实现了5dB的编码增益,与10-6BER的未编码BPSK相比.
- 叠加的调度将每次代的时间消耗减少了三分之一.
- 解码器在156.25 MHz时达到7.76 Gbps的吞吐量,节省了三分之二的资源.
结论:
- 拟议的LDPC代码结构和重叠的解码策略显著提高了效率.
- 这种优化的设计非常适合资源有限的传感器网络.
- 该系统展示了高吞吐量和减少资源消耗,验证了其有效性.
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