An effective joint source-channel coding with unequal error protection using asymmetric turbo codes

In this paper, we firstly present a novel interleaver to improve the error correction performance of turbo codes. Secondly, we devise two types of asymmetric turbo codes to optimize the bit error rate of both water fall and error floor. Finally, we propose an efficient joint source-channel coding scheme based on unequal error protection technology using asymmetric turbo codes. The proposed scheme can adaptively adopt different coding strategies, different interleavers of turbo codes, various decoding algorithms and appropriate decoding iterative numbers in terms of the different significant levels of image data streams and the varying conditions of estimated channel state information. This scheme can also dynamically adjust the source and channel code rates according to the calculated peak signal to noise ratio of reconstructed images and the estimated channel states. The experimental results show that the proposed scheme can evidently increase the peak signal to noise ratio of the reconstructed images and improve the visual effect of the images but with no additional bandwidth, the scheme is more adaptive and feasible.