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中文摘要：
综合了LDPC和卷积码的特征,给出了一种卷积码编码器结构的改进方法.利用此方法可构造稀疏卷积码,进一步基于卷积码编码结构可实现高性能译码.设计了基于MIMO系统平台的时变新型卷积码结构,并进行仿真分析.结果表明,应用本文提出的卷积码编码器误码率在10-4时比传统卷积码编码器有2dB的编码增益提高;同时提出的编码器结构还可实现传统卷积码无法实现的长约束并行编码,具有实现简单、译码延时小的优势.
英文摘要：
Channel error-correcting coding is essential to improve the communication quality. Lowdensity parity check （LDPC） code with near Shannon limit characteristics has increasingsignificantcalculation complexity with the increasing code length. A convolutional encodingstructure was presented through synthesizing the characteristics of both LDPC and convolutionalcodes, with which to construct sparse convolutional code and achieve higher decodingperformance. Analysis verifies that the presented structure can achieve lower bit error rate undererror rate of 10^-4 comparing with traditional convolutional code. Moreover, the simulationsbased on LTE-A software multi-antenna MIMO platform can realize long constraints and parallelcoding, which has advantages of less complexity and small decoding delay.
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