The invention discloses a
radar moving target detection method based on a cognitive framework. The
radar moving target detection method mainly solves the problem that in the strong
clutter background, an existing method is poor in
detection performance for a low-speed target. The achieving process comprises the following steps of separating ground
clutter components from backward
waves; obtaining a
clutter image of a current frame according to the ground clutter components; sensing the environment according to the clutter image and separating the current frame into a
noise region and a clutter region; calculating coefficients of associations according to the ground clutter components, utilizing the coefficients of associations to correct antenna pointing errors, and storing backward wave data after corrected to an environment
dynamic data bank (EDDB); and utilizing the backward wave data of the EDDB to estimate an interference
covariance matrix according to division of the current frame; obtaining a self-adaption filter coefficient according to the estimated interference
covariance matrix, and conducting self-adaption filtering
processing on input data; and conducting constant
false alarm detection on output of a filter. The
radar moving target detection method has the
advantage of greatly improving
detection performance under the condition that an existing device is not greatly changed, and can be used for conducting detection on the low-speed target in the strong clutter background.