Birds and UAVs have similar Radar Cross Section and speed, making birds confusers when trying to detect and track UAVs. Birds can have micro-Doppler features in their signatures, but collecting bird data at multiple angles and directions can be expensive. An alternative is using micro-Doppler simulations of birds. Accurate simulations are made of a single bird, but can also be used to produce flocks of birds as potential confusers. The bird simulation was analyzed for its similarity to drone or UAV rotor radar micro-Doppler. Using these simulations, the effect of the flight angle relative to the radar beam was analyzed for the amount of observable micro-Doppler, allowing the analysis of track angles and the enhanced probability of a false alarm from a bird. This paper shows the differences in bird micro-Doppler returns simulated over angles and compares them to a micro-Doppler model of a UAV rotor.
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