Queuing based remote sensing load universal data processing system

Abstract

The invention discloses a queuing based remote sensing load universal data processing system, which is used for processing the same virtual channel data downloaded to multiple physical channels in a polarized multiplexing mode. According to the queuing based remote sensing load universal data processing system, queuing processing is added between unformatted processing and uncompressing processing, so that advanced orbiting system (AOS) transmission frames of the same virtual channel downloaded to multiple physical channels are sequentially restored to original load data, randomly transmitted AOS data frames of the virtual channel are restored completely according to different physical channels in the polarized multiplexing mode, the capacity in processing and interpreting remote sensing data is improved, and universalization of the overall process of processing is realized. In order to realize the queuing function, a virtual channel identifier in the AOS transmission frame and a characteristic byte of frame count are used for identifying transmission frames corresponding to the same virtual channel identifier, then the frame count is extracted, and queuing is performed according to the size of the frame count. The algorithm is simple and reliable.

Description

technical field [0001] The invention relates to the technical field of remote sensing data processing, in particular to a general data processing system for remote sensing loads. Background technique [0002] Remote sensing satellite sensors output observation information or image data, which are formatted according to the CCSDS-AOS protocol after compression. The multiple channels of data are respectively defined through separate virtual channels to form continuous AOS (Advanced On-Orbit System) transmission frames, and then sent to the physical channel after multiplexing. The physical channel data is sent to the ground after channel coding, modulation, and power amplification. After the satellite load data is obtained on the ground, the baseband data is obtained through demodulation, and the baseband data is restored to the original measurement information or image data after synchronization, decoding, deformatting, and decompression. [0003] In order to maximize the ut...

AI Technical Summary

Problems solved by technology

Since AOS transmission frames in the same virtual channel enter different physical channels randomly, normal data splicing cannot be performed on the ground, which leads to the need to sort the data of the same virtual channel in multiple physical channels and restore them into different The problem of the complete data frame of the virtual channel, so that the image can be spliced ​​and displayed normally

[0004] However, in the polarization multiplexing mode, the existing system does not have a data ordering solution for the same virtual channel under multiple physical channels

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