초록 ▼

The present invention relates to a radar emitter recognition system and method for classifying incoming emitters into their functional roles as disclosed by their electronic signatures and the context within which the radar transmissions are received. An electronic support system provides incoming d

The present invention relates to a radar emitter recognition system and method for classifying incoming emitters into their functional roles as disclosed by their electronic signatures and the context within which the radar transmissions are received. An electronic support system provides incoming data, including unknown attribute information, to a neural network which has been synthesized or trained to calculate a network solution indicative of an emitter's classification within a range of attributes. Similarly the electronic support system provides incoming data, including unknown context data, to a fuzzy logic system that has been provided with possibility distributions to classify the emitter as originating from one of several strategic contexts. The resultant categorizations from the neural network and the fuzzy logic system are combined in a classifier to yield an improved recognition of the emitter under observation. This system and method of using a neural network and fuzzy logic is also applicable to other recognition problems in a number of fields.

대표청구항 ▼

[ What is claimed is:] [14.] A method for recognizing and classifying features of incoming data, comprising the steps of:inputting synthesized or actual data representative of an attribute and a context of an emitter;applying the attribute data to a neural network which provides a network solution r

[ What is claimed is:] [14.] A method for recognizing and classifying features of incoming data, comprising the steps of:inputting synthesized or actual data representative of an attribute and a context of an emitter;applying the attribute data to a neural network which provides a network solution responsive to the emitter's functional role;applying the context data to a logic means having one or more stored possibility distributions for computing a grade of membership; andcalculating a probability distance measure based on the product of the network solution and the grade of membership.