Abstract
Joint source channel symbol-level en/decoding fast algorithm based on space policy trellis is presented in this paper. Constructing a joint decoding plane trellis achieves better decoding performance than the bit-level decoding method. However, the complicated construction of plane trellis causes a high degree of complexity of the joint source channel symbol-level decoding. In this work, we construct a new efficient space policy trellis, optimize design of weight value of variable-length symbols by meeting the constraint condition system of equation, and then form an integrated fast algorithms with VLS-APP decoding. The results of two kinds of simulations indicate that our fast algorithm leads to near 50% reduction of the decoding complexity and lowers bit error rate in the same SNR of channels, compared to the decoding method based on plane trellis. So this method provides reliable error-protection mechanism for variable-length encoded information data, and it can be applied in joint source channel symbol-level en/decoding under resource-constrained situation like the space communication.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
