Aiming at problem that increasing linear error and obvious decreasing in tracking precision and even diverging because of nonlinear strength increases when target maneuvers in the maneuvering target tracking system

a Gaussian mixture interacting multiple model algorithm based on cubature information filtering（ GMIMMCIF） is proposed to improve the tracking precision. The new algorithm utilizes a Gaussian mixture to replace the exponential number of hypotheses that arises in the optimal multiple model filtering at each step in each mode

thus maintaining a limited number of hypotheses; utilizes cubature information filtering to replace traditional nonlinear filtering

the cubature information filter（ CIF） evaluates information state vector and information matrix rather than state vector and covariance

which can reduce the nonlinear error of system. Through simulation comparison experiment

verify that the proposed algorithm can improve tracking precision of maneuvering target.