Enhanced and Optimal Development Contributed in Finding Unknown Sources of Interference in Wireless Communication ^†

Radio frequency interference has been considered a major common issue in wireless communication systems; among several other potential major issues, the emergence and massive development of Internet of things (IoT) is also considered a crucial issue as each device connected wirelessly causes enough of an increment to have destructive effects on radio-frequency interference (RFI). Thus, the identification of RFI signals and the measurement of the position from which they originated is a major challenge of today; for that reason, several inclusive deployments have been made in the literature of RFI geolocation to find the origin of RFI. Further, in this study, a standard optimal approach is defined, considering the destructive effects of RFI in wireless communication, and implemented to find the origin of RFI, i.e., the RFI location. For measurement purposes, the promising location-finding paradigms, such as the time difference of arrival and the frequency difference of arrival, are efficiently applied, computed and cross-correlated, and further optimized in searching for the actuated position of unknown interference. The measurements conducted in this study are evaluated which resulted in the relative best performance and high accuracy, to find the actual location of the interference.