Fuzzy Logic Program Detector of Atmospheric Gravity Waves from Radar Observations

Abstract

We present a concept of atmospheric gravity wave (AGW) detector based on the fuzzy logic approach. The random-generated data as well as the data acquired using Kharkiv incoherent scatter (IS) radar are employed to test the expert system under development. We designed and selected input and output variables, types of membership functions and wrote the rules for the operation of the expert system. As input variables, we used two equivalent signal-to-noise ratios and oscillation durations at two adjacent heights as well as differences between phases, onsets and periods of these oscillations. Detection capability and belonging to wave were assigned to the output variables. Testing of the program detector using a number of randomly generated signals showed that it correctly detects the received signal the determines the signatures of wave patterns. We also apply the developed approach to detect traveling ionospheric disturbances caused by AGW propagation near local solar terminator passage times in the altitude-time maps of IS power.