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.