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Spacecraft mainly use dual-frequency GPS precision orbit determination technology to improve orbit prediction accuracy, but it is necessary to pre-store the observation data of the dual-frequency GPS navigation system, which increases the burden of solid state memory system’s storage resources. So, the article proposes a real-time compression method for satellite-borne GPS observation data. This method introduces the theory of compressed sensing and uses the K-Singular Value Decomposition (K-SVD) dictionary learning method to construct a compression dictionary for GPS navigation. The system sparsely decomposes the collected observation data into the K-SVD compression dictionary to achieve the purpose of data compression. Through simulation verification, this method not only has high compression ratio and low distortion rate, but also can effectively reduce the noise level of GPS observation data and improve the precision of precise orbit determination. The method is suitable for GPS observation data compression application of different orbit.