ENVIRONMENT-LEARNING FALSE RADAR DETECTION

Systems and methods are provided for learning radio frequency pulses transmitted at various frequencies in a wireless environment, including false radar signals and actual radar. For example, the system can keep a list of radio frequency pulse characteristics detected by access points (APs) but ignored when not declared a radar. The detected radio frequency pulse can be compared with those on the list and may be added to the deny-list if not radar. The AP learns what intervals are normal for the communication environment and if the noise someday looks like a real radar (but it not actually a radar), it will not be classified as radar because it is on the deny-list.