The interference immunity of the telemetric information data exchange with autonomous mobile robots
This work addresses interference issues in telemetric data exchange for autonomous mobile robots, but it appears incremental as it builds on existing spread spectrum techniques with a specific modification.
The paper tackled the problem of improving interference immunity in data exchange for autonomous mobile robots by using spread spectrum signals with variable entropy, achieving at least a 2 dB better signal-to-noise ratio compared to existing correlation processing methods under equal time complexity.
Purpose. To obtain the interference immunity of the data exchange by spread spectrum signals with variable entropy of the telemetric information data exchange with autonomous mobile robots. Methodology. The results have been obtained by the theoretical investigations and have been confirmed by the modeling experiments. Findings. The interference immunity in form of dependence of bit error probability on normalized signal/noise ratio of the data exchange by spread spectrum signals with variable entropy has been obtained.It has been proved that the interference immunity factor (needed normalized signal/noise ratio) is at least 2 dB better under condition of equal time complexity as compared with correlation processing methods of orthogonal signals. Originality. For the first time the interference immunity in form of dependence of bit error probability on normalized signal/noise ratio of the data exchange by spread spectrum signals with variable entropy has been obtained. Practical value. The obtained results prove the feasibility of using variable entropy spread spectrum signals data exchange method in the distributed telemetric information processing systems in specific circumstances.