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Nonbinary Convolutional Encoder for Vector Symbol Decoding on FPGA board

机译:FPGA板上用于矢量符号解码的非二进制卷积编码器

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摘要

Convolutional codes are widely used for reliable data communications. Conventionally, the codes use binary symbols because their decoders such as Viterbi decoder or Sequential Decoder usually were designed for binary symbols. In order to develop the system for nonbinary convolutional codes that use the vector symbol decoding algorithm, there is a need for a nonbinary convolutional encoder that works with large symbol size since the typical size of this decoding algorithm is 32 bits/symbol. For ease of implementation, this encoder was developed on an FPGA (Field Programmable Gate Array) board.
机译:卷积码被广泛用于可靠的数据通信。按照惯例,这些代码使用二进制符号,因为它们的解码器(例如Viterbi解码器或顺序解码器)通常是为二进制符号设计的。为了开发使用矢量符号解码算法的用于非二进制卷积码的系统,由于该解码算法的典型大小是32位/符号,因此需要一种具有大符号尺寸的非二进制卷积编码器。为了易于实现,该编码器是在FPGA(现场可编程门阵列)板上开发的。

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