针对无损压缩技术在航天遥测系统中的应用情况,提出了基于现场可编程门阵列(FPGA)和数字信号处理器(DSP)硬件结构的遥测噪声数据实时无损压缩系统的方案。结合Shannon信息论中信息熵的概念,研究了数据压缩的本质和算法评估标准。通过PC仿真试验对多种算法的压缩效果进行了比较,最终选择算术编码(ARC)作为无损压缩的算法。测试结果表明,该方案能够实时采集并压缩遥测噪声数据,有效地提高压缩去除率和压缩速度,优化压缩性能。
For the application of lossless compression techniques in the aerospace telemetry system, the program that the hard ware configuration of real-time telemetry noise data lossless compression system was designed based on Field Programmable Gate Array (FPGA) and Digital Signal Processor (DSP) was provided.Combined with the concept of information entropy of Shannon theo ry, the nature of data compression algorithm evaluation criteria were studied. After comparing different compression results of several algorithms via PC simulation test , Arithmetic Coding(ARC) algorithm was selected finally. The test results showed that this program was able to collect and compress the telemetry noise data, improved the compression removal rate and compression speed, optimized compression performance.