| 基于FPGA的CCSDS星载数据无损压缩系统设计 | |
| Alternative Title | Design of Lossless Compression System for CCSDS On-board Data Based on FPGA |
| 孙建伟; 张忠伟; 郑铁; 薛长斌; 陈聪 | |
| Department | 空间技术部 |
| Source Publication | 空间科学学报
 |
| 2019 | |
| Volume | 39Issue:5Pages:694-700 |
| Language | 中文 |
| Keyword | 星载数据 无损压缩 |
| Abstract | 星载数据的无损压缩对星载数据的存储和传输具有重要意义.CCSDS推荐的RICE算法对于实现数据的无损压缩具有很好的效果.本文针对RICE算法中k值选择算法计算量大的缺点,利用预处理样本最大值优化k值的方法,使优化后的算法计算复杂度更低,资源占用率更小,运行时间更短,但压缩比相近.利用FPGA进行硬件实现并通过仿真和试验测试,使星载数据的压缩比达到1.5以上,可以满足星载系统对数据压缩的要求,为星上其他载荷提供更多资源. |
| Other Abstract | The growth volume of on-board data such as imagery, spectrum or radar data challenges the storage and transmission tasks on orbits. Hence, a universal lossless data compression algorithm is necessary. The lossless compression algorithm which is based on RICE code and recommended by CCSDS has an efficient performance for on-board data. However, the selection of parameter k consumes much time in this algorithm. In this paper, the method which uses maximum value of samples to optimize the parameter k can be adopted to reduce the complexity and the hardware resource. The proposed algorithm has the same compression ration but shorter run-time comparing with the traditional one. Finally, the proposed algorithm has been implemented by FPGA. The results of the simulation and experiment illustrate that the compression ratio of on-board data can reach 1.5 or more. It can fulfill the requirement of data compression for space borne system and spare more resources for the other payloads on the satellite. |
| Indexed By | CSCD |
| Citation statistics |
Cited Times:1[CSCD]
[CSCD Record]
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| Document Type | 期刊论文 |
| Identifier | http://ir.nssc.ac.cn/handle/122/7227 |
| Collection | 空间技术部 |
| Recommended Citation GB/T 7714 | 孙建伟,张忠伟,郑铁,等. 基于FPGA的CCSDS星载数据无损压缩系统设计[J]. 空间科学学报,2019,39(5):694-700. |
| APA | 孙建伟,张忠伟,郑铁,薛长斌,&陈聪.(2019).基于FPGA的CCSDS星载数据无损压缩系统设计.空间科学学报,39(5),694-700. |
| MLA | 孙建伟,et al."基于FPGA的CCSDS星载数据无损压缩系统设计".空间科学学报 39.5(2019):694-700. |
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| File Name/Size | DocType | Version | Access | License | ||
| 2019395694-700.pdf（765KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Download | |
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