Cooperative spectrum sensing based on data fusion from multiple sensors

Abstract

The development of technology is progressing in every area of our lives. Each of us has anelectronic device that emits electromagnetic energy. Radiation of radio signals is an essential element ofwireless communication, satellite navigation or real-time monitoring. Modern armies have technologicalsolutions based on wireless technologies that improve operational efficiency, increase situationalawareness and allow us for faster decision making, but at the same time, in the electromagneticspectrum, equipment using electromagnetic energy can be compared to a flashlight ‒ the enemycan observe “glowing” points on the spectrograms and frequency domain images. This enables us toeasy detect and localise the target and then to eliminate it. This is a domain where radio-electronicreconnaissance techniques work well ‒ a type of military reconnaissance that uses the electromagneticspectrum to gather information about the enemy. One of the methods is spectrum sensing, based onthe analysis of received radio signals. Currently, there is a tendency in which information from onesensor is not enough. It is necessary to collect reconnaissance products from many devices, and thento make effective data fusion. DF (Data Fusion) algorithms allow us for cooperative sensing of theelectromagnetic spectrum, which translates into a higher probability of signal detection. It is worthconsidering the introduction of software-defined radio and unmanned aerial vehicle solutions in orderto miniaturise reconnaissance systems and to increase a range through the use of flying platforms.Implementations of unmanned systems and artificial intelligence algorithms, capable of making quickand accurate decisions will help to avoid human losses.Keywords: signal intelligence, unmanned aerial vehicle, software defined radio, data fusion, artificialintelligence