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This paper presents joint source channel variable length (VL) coding/decoding based on a space trellis.Through constructing a joint decoding plane trellis,better decoding performance can be achieved than by using the bit-level decoding algorithm.However,the plane trellis is complicated,which results in high decoding complexity for decoding VL turbo codes.To solve this problem,we construct a space trellis and design a low-complexity joint decoding algorithm with a variable length symbol-a posteriori probability (VLS-APP) algorithm in resource constrained deep space communication networks.Simulation results show that the proposed approach reduces the decoding complexity by 10% compared with the plane trellis,and the gain of Eb/N0 is about 0.2 dB at SER=10-4.Furthermore,it provides substantial error protection for variable-length encoded image data.
This paper presents a joint source channel variable length (VL) coding / decoding based on a space trellis. Through building a joint decoding plane trellis, better decoding performance can be achieved than by using the bit-level decoding algorithm. complicated, which results in high decoding complexity for decoding VL turbo codes. solve this problem, we construct a space trellis and design a low-complexity joint decoding algorithm with a variable length symbol-a posteriori probability (VLS-APP) algorithm in resource constrained deep space communication networks.Simulation results show that the proposed approach reduces the decoding complexity by 10% compared with the plane trellis, and the gain of Eb / N0 is about 0.2 dB at SER = 10-4.Furthermore, it provides substantial error protection for variable-length encoded image data.