• Derya Yılmaz Assistant Professor
  • Aslı Sağlam
Keywords: RF communication, Telemetry, Lossless data compression, Link budget analysis.


A missile’s telemetry data includes various sensor outputs, guidance commands formed and position information and this package is transmitted via Radio Frequency (RF) communication to the ground station. As these data are used for optimizing and improving missile design parameters, it is crucial for telemetry tests to collect as much data as possible. This principle results in the requirement of developing a telemetry system that can collect more data with less cost (bandwidth cost, financial cost etc.). This study investigates the effects of the using data compression methods in telemetry systems on RF communication budgeting. For this purpose, the compression methods are applied to the telemetry data and the effects of the reduction of data size on the communication range and link margin are examined in the simulation environment. Synthetically produced (fabricated) telemetry data is compressed with Huffman and Lempel Ziv Welch (LZW) algorithms which are the lossless compression methods and, the effects are evaluated by conducting a link budget analysis on the RF communication. The results show that the compression of telemetry data can reduce the cost of the communication system by increasing the RF communication range or the link margin.


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How to Cite
D. Yılmaz and A. Sağlam, “THE EFFECTS OF DATA COMPRESSION IN MISSILE TELEMETRY SYSTEMS”, JAST, vol. 10, no. 2, pp. 37-47, Aug. 2017.