An Enhanced Run-Length Encoding Compression Method for Telemetry Data

Abstract

The telemetry data are essential in evaluating the performance of aircraft and diagnosing its failures. This work combines the oversampling technology with the run-length encoding compression algorithm with an error factor to further enhance the compression performance of telemetry data in a multichannel acquisition system. Compression of telemetry data is carried out with the use of FPGAs. In the experiments there are used pulse signals and vibration signals. The proposed method is compared with two existing methods. The experimental results indicate that the compression ratio, precision, and distortion degree of the telemetry data are improved significantly compared with those obtained by the existing methods. The implementation and measurement of the proposed telemetry data compression method show its effectiveness when used in a high-precision high-capacity multichannel acquisition system.

Compressed encoding of vibration signals using extremum sampling

“…The compression of vibration signals from wireless sensor nodes with a modified discrete cosine transform has been proposed in [12]. Run-length encoding has been applied to telemetry data in a multichannel acquisition system in [13]. However, the method involves oversampling and averaging before performing run-length encoding.…”