FIELD: physics.
SUBSTANCE: proposed invention may be used for identifying and tracking air target of "turbojet engine aircraft" class. Proposed method consists in parallel tracking using optimum multivariate linear discrete Kalman filtering of Doppler frequency counts of signal reflections from tracked air target airframe and turbojet engine compressor revolving vanes. It comprises also estimating, in each operating cycle of tracking filters, of difference between estimated Doppler frequencies caused by reflections from airframe and air target airframe and turbojet engine low-pressure compressor first stage revolving vanes that corresponds to solely single class of turbojet engine aircraft. Note here that the entire range of possible estimations of said differences is a priori divided into superimposed sub ranges, each corresponding to solely one aforesaid air target class. It includes also computing, for several intermediate operating cycles of both filters, of probability of frequency difference estimation falling into sub range formed a priori, determining sub range number for which magnitude of said probability is at maximum, and comparing said probability with threshold probability of target class identification. Confirming air target call identification with probability not lower than preset one in case said threshold is exceeded, or, otherwise, confirming impossibility of air target identification with preset probability.
EFFECT: expanded operating performances.
8 dwg
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Authors
Dates
2011-05-27—Published
2009-11-03—Filed