SHEN Bangyue,HE Jianxin,ZENG Qiangyu.Data Compression Algorithm of Phased Array Weather Radar based on Super Resolution[J].Journal of Chengdu University of Information Technology,2023,38(06):621-629.[doi:10.16836/j.cnki.jcuit.2023.06.001]
基于超分辨率的相控阵天气雷达数据压缩算法
- Title:
- Data Compression Algorithm of Phased Array Weather Radar based on Super Resolution
- 文章编号:
- 2096-1618(2023)06-0621-09
- Keywords:
- weather radar; phased array radar; data compression; predictive coding
- 分类号:
- TN957.52
- 文献标志码:
- A
- 摘要:
- 随着天气雷达技术不断进步，经过双偏振和相控阵两次技术发展，数据量急剧增长。爆发性增长的雷达数据量使数据传输和存储成为制约相控阵雷达业务化的瓶颈。提出相控阵天气雷达数据压缩算法，首先对数据进行下采样，对下采样数据进行预测编码得到预测残差，再将下采样数据进行超分辨率重建得到重建残差，组合预测残差和重建残差进行熵编码输出，实现数据无损压缩。使用江苏兴化CHARTOR-XPARD双偏振相控阵雷达数据对该算法进行评估，实验结果表明，该算法较通用算法压缩率更高，较次优算法压缩率提高15%～21%，适用于相控阵天气雷达数据无损压缩。
- Abstract:
- With the continuous progress of weather radar technology, the amount of data has increased dramatically after the development of dual polarization and phased array technology. The explosive growth of radar data makes data transmission and storage a problem to phased array radar business. In this paper, a data compression algorithm for phased array weather radar is proposed. First, the data is downsampled, and the downsampled data is predicted and encoded to obtain the prediction residuals. Then, the downsampled data is reconstructed to obtain the reconstruction residuals by super-resolution reconstruction. Combined with the prediction residuals and the reconstruction residuals, the entropy coding output is performed to achieve lossless data compression. The algorithm in this paper is evaluated using the data of Jiangsu Xinghua CHARTOR-XPARD dual polarization phased array radar. The results show that the algorithm in this paper has a higher compression rate than the general algorithm, and a 15%-21% higher compression rate than the sub optimal algorithm, which is suitable for lossless compression of phased array weather radar data.
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备注/Memo
收稿日期:2022-10-12
基金项目:四川省科技厅中央引导地方科技发展基金资助项目(2020 ZYD051)