The invention relates to a joint
estimation method for the angle of an array antenna and the number of
signal sources in a complex
noise environment, and belongs to the technical field of radio positioning. The joint
estimation method comprises the steps of 1) solving a cycle
correlation entropy matrix V<alpha><y>(tau) of array signals under a condition that the
cycle frequency is known; 2) building a cycle
correlation entropy array
linear prediction model V=[Phi]A which is applicable to
broadband signals and narrow-band signals; 3) estimating the number K of interested
signal sources and an error variance [sigma]<2>; 4) estimating a flow pattern matrix of the array model; and 5) performing DOA
estimation by using spectrum peak searching. According to the invention, a cycle
correlation entropy theory is organically applied to array
signal processing, correlation characteristics of the cycle correlation entropy are innovatively proposed, and the array
linear prediction model is built based on the characteristics. The
algorithm is put forward according to actual requirements, and has the characteristics of high anti-
noise performance, low
computation complexity, small number of required snapshots, high
angular resolution and the like.