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Performance improvement of Viterbi and Sova decoding Algorithms with finite decoding length

机译:具有有限解码长度的Viterbi和Sova解码算法的性能改进

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This thesis proposes a new modified version of Viterbi Algorithm and modification of that algorithm into Soft-Output version of Viterbi Algorithm is also presented. This modification take care of the memory requirement of the SMU (Survivor Memory Unit) into account and using the concept of decoding length(depth), by introducing the finite decoding depth it has been observed that there is improvement in error performance of Viterbi and Soft-Output Viterbi Algorithm. Besides the improvement in Bit Error Rate Vs Signal to Noise curves, some hardware improvements i.e. reduction in size and power consumption in SMU and TBU (Trace Back Unit) is also achieved.
机译:本论文提出了一种新的修改版本的维特比算法和修改该算法进入Viterbi算法的软输出版本。这种修改处理SMU(Surviver Memory Ober)的内存要求,并使用解码长度(深度)的概念,通过介绍了viterbi误差性能的有限解码深度,并且柔软的误差性能有所改善-output viterbi算法。除了提高误码率VS信号与噪声曲线之外,还实现了一些硬件改进,即SMU和TBU(追踪单元)的尺寸和功耗降低。

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