The invention discloses a non-convex optimization based
MIMO radar moving
object detection method. The method comprises the following steps: according to
radar parameters, performing distance-angle-Doppler grid dividing on an observation area; according to
radar emission, the position of a receiving array, and radar observation area parameters, calculating emission and reception guiding vectors; according to emission
signal waveforms, the guiding vectors and a distance unit time
delay transformation matrix, constructing a sparse dictionary matrix; performing
serialization on echo signals received by an
antenna array; and according to an aforementioned model, constructing
MIMO radar moving
object detection to be an
optimization problem of an L[1 / 2] norm minimizing constraint; and using a
heavy weight determining L[1] norm regularization method to solve the
optimization problem, obtaining distance-angle-
Doppler imaging of a
MIMO radar moving object, and detecting a moving object in the observation area. By using the method provided by the invention, a moving
object detection result more accurate than a result by use of a convex optimization
algorithm can be obtained, and the detection result is higher in resolution.