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VDES信号Turbo译码研究

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为了准确高效地实现VDES数据段Turbo译码,文中研究了迭代译码的两种主要方法:软输出维特比算法(SOVA)和BCJR算法,分析和比较了两种算法的译码性能、计算量以及硬件实现时的资源消耗.选择VDES系统中两个码率不同的链路信号ID20和ID21,分析了迭代次数对两种算法译码性能的影响,给出了两种算法的误码率曲线和误帧率曲线.Matlab仿真结果表明,两种算法在VDES系统标准要求的最低信噪比下工作时,误帧率均能低于10-1.BCJR算法的译码性能优于SOVA算法,计算量明显高于SOVA算法.当考虑用DSP实现Turbo译码时,SOVA算法耗时少于BCJR算法,但在用FPGA实现时BCJR算法耗时更少.
Research on Turbo decoding of VDES signals
In order to realize Turbo decoding of VDES data segment accurately and efficiently,two main methods of iterative decoding are analyzed and studied:Soft Output Viterbi Algorithm(SOVA)and Bahl Cocke Jelinek Raviv(BCJR).The decoding performance,computation and resource consumption when the hardware implementation of the two algorithms are also compared and analyzed.Two link signals ID20 and ID21 with different code rates in VDES are selected to the analyze the influence of iteration times on the decoding performance of two algorithms.The bit error rate curves and frame error rate curves of the two algorithms are given.The Matlab simulation results show that both algorithms can achieve frame error rates below 10-1 under the minimum signal-to-noise ratio required by the VDES standard.The decoding performance of the BCJR is better than that of the SOVA,but the amount of calculation is significantly higher than that of the SOVA algorithm.When considering using DSP to implement the Turbo decoding,SOVA takes less time than BCJR.But BCJR takes less time when it is implemented with FPGA.

VDESSOVABCJRTurbo code

张颢恬、王建新

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南京理工大学电子工程与光电技术学院,江苏 南京 210094

VDES SOVA BCJR Turbo码

2025

电子设计工程
西安三才科技实业有限公司

电子设计工程

影响因子:0.333
ISSN:1674-6236
年,卷(期):2025.33(2)