Evaluation of Group Signal Transformation Efficiency for Earth Remote Sensing Systems

In energy-deficient systems, such as satellite systems for remote sensing, the issue of reducing power consumption is especially relevant. The group signal transformation has shown high efficiency in reducing the dynamic range of transmitted highly correlated signals. Such signals include, for example, signals for object positioning or multispectral analysis obtained from remote sensing devices. In the present work, the estimation of bit error rate depending on the signal-to-noise ratio and compression level of the original signals was carried out. In this research, we used the model based on the ESP32 microcontroller. We obtained the analog light sensors (photoresistors) connected to the controller to obtain highly correlated signals. The calculations of the bit error rate show that compression of the dynamic range of the transmitted signals two times, and, consequently, reduction of the transmission energy, weakly affects the error rate. However, a further increase in the compression level leads to a sharp increase.