The distance of satellite signal transmission is long, and it is easily affected by rain and snow. The channel state changes quickly. The traditional design is based on the worst channel conditions. In sunny conditions, it will cause much waste of resources. Therefore, the satellite needs to adaptively adjust the code rate according to the actual channel state. This technology not only helps to maximize the transmission rate but also effectively improves the spectral efficiency. A standard method of changing rates is rate matching. Shortening is a technique of rate matching. The performance of current shortening algorithms is weak, or the calculation is very complicated. For satellites, there are not enough resources to perform complex calculations and storage when the performance requirements are met. Therefore, this paper proposes an adaptive rate matching algorithm based on the confidence ranking of log-like ratio (LLR) information (CRLI) to reduce resource occupation and achieve better error correction and anti-interference capabilities. The simulation under the additive white Gaussian noise (AWGN) channel proves that the CRLI algorithm has a better bit error ratio (BER) performance, lower complexity, and occupies fewer resources.