Robust transmission of progressive images in the deep space communication

Abstract

Signal to noise ratio in the deep space communication channel is so low that it is essential for deep space communication systems that information received is adequately used. Focused on the long delay and the high fading in the deep communication channel, a method of progressive robust image transmission is proposed based on the image compression algorithms using wavelet transform suggested by CCSDS. It divides Wavelet Coefficient of tree structure in CCSDS standard to different groups, which compensated the deficiency of the low efficiency in forward error correct and the long delay of automatic repeat-request if it is used to protect the image compression data in deep space communication. And with the help of a rate-distortion model for progressive wavelet coder and a way for voice quantization optimum bit assignment, the paper proposed a new method to allocate different compression rates to image groups in order to meet the minimum image data lost in the situation of constant channel rate. Simulation results have shown that the method is suited to implement error containment of the progressive image transmission in the deep space communication.