Overview of the ways to reduce telemetric information redundancy

Abstract

The redundancy of telemetric information significantly complicates the real-time processing of the information flows. To speed up the telemetry processing process, the methods for telemetric information redundancy reduction should be applied in order to reduce its flows entering the monitoring systems while maintaining a high speed of processing and reliability of the information. The article provides an overview of the methods for reduction of telemetric information redundancy, such as the increase in PHY-rate of telemetry channel, the Huffman algorithm, the batch mechanism for generation and transmission of telemetry information, the adaptive difference algorithm, the algorithm for transmission of the information based on its representation by residual images, Golomb-Rice codes, reversible compression method. The advantages and disadvantages of each of them are considered. Recommendations on the use of multi-level telemetry information compression system are given, which makes it possible to effectively combine target data compression algorithms that give the highest compression ratio depending on the type of telemetry information transmitted.

Error Control Coding Algorithms in High Reliability Telemetry Systems

“…In this case, no natural numbers can be matched to non-code words. It is shown in [3] that the correction of errors in the deduction system by means of L-codes leads to redundancy equivalent to redundancy. An important characteristic here is the concept of the minimum code distance d min .…”

“…Therefore, the transmission of information can only be provided by an electromagnetic, acoustic or radio channel at low frequencies of transmission of packet messages. At the same time, an important role is played by ensuring the reliability of the received information [1][2][3].…”