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Reciprocal Data Map Coding Scheme for Image Transmission in MIMO-OFDM Systems

机译:MIMO-OFDM系统中图像传输的互易数据映射编码方案

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摘要

An improved error correction code using Iterative decoding involves the substitution of extrinsic probabilities among the main decoders. The output of two-component decoders had the properties of the Reciprocal data and perceived with external Logarithmic likelihood Ratio (LLR) based turbo codes. The improved of interactive data analysis and probable performances among the Reciprocal data between each external decoders. The residual information of the transmission channel decoder estimation is provided with precise evaluation. As an application, the Reciprocal information between extrinsic is used for arranging and progressing capable correction segment approach and error data directed to the decoder side. The specific performance of the proposed code significantly depends on the extended, enlarged interpreting data at the receiver under various environmental situations. Then the separate decoder includes a redundant data between consequent decoders and unpredictability of the decoding process. Then estimated independent mean and change are used to tune the LLR correction segments in the turbo decoder. From the Bit Error Rate, it was observed that Reciprocal data Max-log-map (RD-MLMAP) is ideal for performance over existing MLMAP methods.
机译:使用迭代解码的改进的纠错码涉及替换主解码器之间的外在概率。双组分解码器的输出具有互易数据的属性,并以基于外部对数似然比(LLR)的涡轮码感知。每个外部解码器之间的互动数据之间的交互数据分析和可能性能的提高。提供了传输信道解码器估计的剩余信息,具有精确的评估。作为应用,外在的互殖信息用于布置和进展能够的校正段方法和针对解码器侧的误差数据。所提出的代码的具体性能显着取决于各种环境情况下接收者的扩展,放大的解释数据。然后,单独的解码器包括后续解码器之间的冗余数据和解码过程的不可预测性。然后估计独立的平均值和变化用于调整Turbo解码器中的LLR校正段。从误码率从误码率,观察到互惠数据MAX-LOG-MAP(RD-MLMAP)是对现有MLMAP方法的性能的理想选择。

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