Artificial intelligence for the classification of signals for radar detectors

A radar detector, comprising

• a. a radar receiver for receiving and characterizing the signal characteristics of a radar signal generated remotely from the receiver, wherein the received radar signal includes signals generated remotely by one or more law enforcement sources, or signals generated remotely by one or more non-law enforcement sources, or both, the radar receiver using a local oscillator that is not synchronized to any of said sources to provide an output comprising one or more of radar frequency, radar intensity and radar direction,
• b. a control system coupled to the radar receiver and receiving the output thereof, the control system comprising a neural network structured in multiple layers each processing signal characteristics delivered thereto to develop neural pathways associated with the distinguishing signatures of the signal characteristics of remotely generated signals from law enforcement sources or remotely generated signals from non-law enforcement sources, or both, when provided to the neural network,
• wherein the control system identifies the presence, or absence, of a remotely generated signal from a law enforcement source based upon the distinguishing signatures of signal characteristics associated with neural pathways within the neural network, and communicates the result of the identification as a radar detection output.