相控阵天气雷达数据压缩技术  

Data Compression Technology for Phased-Array Weather Radar

作　　者：胡林宏 周红根 沈邦跃 曾强宇[3,4] HU Linhong;ZHOU Honggen;SHEN Bangyue;ZENG Qiangyu(Jiling Meteorological Observation and Safeguard Center,Changchun 130062;Jiangsu Meteorological Observation Center,Nanjing 21004l;CMA Key Laboratory of Atmospheric Sounding,Chengdu 610225;College of Electronic Engineering,Chengdu University of Information Technology,Chengdu 610225)

机构地区：[1]吉林省气象探测保障中心,长春130062 [2]江苏省气象探测中心,南京210041 [3]成都信息工程大学电子工程学院,成都610225 [4]大气探测重点开放实验室,成都610225

出　　处：《气象科技》2023年第3期356-365,共10页Meteorological Science and Technology

基　　金：中央引导地方科技发展自由探索项目(2020ZYD051);国家自然科学基金项目(U20B2061);上海区域合作基金项目(QYHZ202102);中国气象局大气探测重点开放实验室课题(2022KLA03M)共同资助。

摘　　要：相控阵天气雷达较新一代天气雷达在时空分辨率上有明显的优势。随着探测能力的提高,相控阵雷达数据量急剧增长,数据传输和存储问题凸显。现有天气雷达数据压缩算法可以减少传输和存储的数据量,但现有算法并未充分考虑相控阵雷达特点,数据压缩率有较大提升空间。本文提出时空预测的相控阵雷达数据压缩算法(PARDC),使用径向预测压缩数据相关冗余。使用CHATOR雷达数据对PARDC的算法性能进行评估,试验结果表明PARDC较通用的压缩算法压缩率性能大约提升了24%。Phased-array weather radars have a significant advantage over new-generation weather radars in terms of spatial and temporal resolution. With the improvement of detection capability, the amount of phased-array radars data grows sharply, thus raising data transmission and storage problems. Existing weather radar data compression algorithms may reduce the amount of data transmitted and stored, and yet common data compression algorithms fail to consider the characteristics of phased-array radars sufficiently. This paper proposes a space-time predictive phased-array radar data compression algorithm(PARDC) to compress the redundancy associated with phased-array radar data using radial prediction to achieve efficient lossless compression. The algorithm performance of PARDC is evaluated using CHARTOR radar data, with experimental results showing that PARDC improves the compression rate performance by approximately 24% over the common compression algorithm.

关 键 词：天气雷达 数据压缩 预测编码 相控阵雷达 

分 类 号：P412.25[天文地球—大气科学及气象学]