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首页> 外文会议>International Conference on Energy, Communication, Data Analytics and Soft Computing >A comparison and simulation of LDPC decoders for Chinese digital television multimedia broadcasting(CDTMB) standard
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A comparison and simulation of LDPC decoders for Chinese digital television multimedia broadcasting(CDTMB) standard

机译：中国数字电视多媒体广播（CDTMB）标准的LDPC解码器的比较和仿真

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For the last 20 years intense research has been carried out on Low Density Parity Check(LDPC) decoders for supporting various transmission technologies. There are various proven LDPC decoder algorithms such as Log domain sum product algorithm(LDSPA), Min sum decoder (MSD), Single scan min sum decoder(SSMSD) and normalized single scan min sum decoder(NSSMSD) which are currently in use. Each of these algorithm have its own distinct pros and cons from implementation point of view that comes to support various transmission standards. In this paper four LDPC decoding algorithms are implemented to test and support CDTMB standard for its three code rates viz. 0.4, 0.6 and 0.8. The performance evaluation of all four decoder algorithms mentioned above are carried out with Additive White Gaussian Noise(AWGN) channel with BPSK modulation scheme. The software implementation of these algorithms show that min sum decoder algorithm reduces complexity when compared to LDSPA. Also SSMSD and NSSMSD contributes to conservation of memory to 23% and take at least 35% less computation time compared to LDSPA and MSD. LDSPA is preferred for low data rate applications for its good BER performance, but it has the drawback of increase in hardware complexity due to the presence of tanh and log functions. SSMSD and NSSMSD is preferable for high data rate applications as this showed low memory requirement and faster performance.
机译：在过去的20年中，针对支持各种传输技术的低密度奇偶校验（LDPC）解码器进行了深入研究。目前正在使用各种经过验证的LDPC解码器算法，例如对数域和积算法（LDSPA），最小和解码器（MSD），单扫描最小和解码器（SSMSD）和规范化单扫描最小和解码器（NSSMSD）。从实现的角度来看，每种算法都有自己独特的优缺点，可以支持各种传输标准。本文采用了四种LDPC解码算法来测试和支持CDTMB标准的三种码率。 0.4、0.6和0.8。上面提到的所有四种解码器算法的性能评估都是通过具有BPSK调制方案的加性高斯白噪声（AWGN）信道进行的。这些算法的软件实现表明，与LDSPA相比，最小和解码器算法降低了复杂度。与LDSPA和MSD相比，SSMSD和NSSMSD还有助于将内存节省达到23％，并至少节省了35％的计算时间。 LDSPA具有良好的BER性能，是低数据速率应用程序的首选，但由于存在tanh和log函数，因此具有硬件复杂度增加的缺点。对于高数据速率应用，SSMSD和NSSMSD更可取，因为这显示出较低的内存需求和更快的性能。

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