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文中通过分析导弹遥测数据非平稳特性,根据预测差值大小将遥测数据分为缓变参数和速变参数部分,有针对性地采用LZW算法和Huffman算法混合编码的设计方法,并从理论上阐述了该算法的优点及较优的压缩性能。提出了以DSP数据处理器为核心硬件电路的实现方法来进行数据的实时无损压缩,并通过高速以太网传送方式转发给上位机,整个系统模块化设计,易于维护和升级。
In this paper, by analyzing the non-stationary characteristics of missile telemetry data, the telemetering data is divided into the parameters of creep and velocity change according to the prediction difference, and the design method of LZW algorithm and Huffman algorithm is introduced in detail. The advantages of the algorithm and better compression performance. Proposed to DSP data processor as the core hardware circuit for real-time lossless compression of data, and transmitted to the host computer through high-speed Ethernet transmission, the entire system modular design, easy to maintain and upgrade.