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

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.