Lossless Telemetric Data Compression using Lempel-Ziv-Markov-Algorithm

Missiles are used in warfare for various purposes. They are powerful weapons that can be used to attack a variety of targets. They can be launched from a platform, including aircraft, ships, submarines, and ground-based launchers. Missiles face several communication challenges, including the plasma layer's thickness, blackout region, etc. Plasma is an ionized gas layer created by the interaction of the missile's hot exhaust gases with the air/atmosphere which generates Electromagnetic interference (EMI), that interferes with the missile's communication guidance systems. The blackout region is caused by the scattering of radar waves by the plasma layer, making it difficult to track the missile, and reducing the effectiveness of air defense systems. Our objective is to overcome the data transmission problem during the communication blackout by using data compression techniques without losing the original information. In this work, the Lempel-Ziv-Markov-Algorithm (LZMA) and GZIP techniques are used for compressing the synthetic telemetric data as they provide greater output efficiency which was inferred by the analysis of different articles. The synthetically generated telemetric data, consisting of acceleration, temperature, velocity vector, pressure, and voltage measurements from real sensors, has been compressed. These techniques have improved transmission efficiency, data rate, and compression ratio. The compression ratio of LZMA outperforms the GZIP as the compression ratio of LZMA is 5.85 whereas GZIP is 1.41.