A novel algorithm for Target parameter estimation and Dynamic Tracking in Bistatic MIMO Radar system

The ground-air communication of civil aviation is interfered by radios, which has seriously endangered the normal flight of civil airplanes. This paper proposes an airplane dynamic tracking algorithm based on the study of the interference localization. Firstly, a novel signal model to accurately estimate parameters of the airplane is proposed. A method for instantaneous Doppler frequency estimation based on peak searching of the fractional ambiguity function (FAF) is proposed, and a method of projection approximation subspace tracking based on the fractional ambiguity function (FAF-PAST) is proposed to estimate the azimuth angle and elevation angle. Furthermore, the velocity and location of the airplane are estimated by employing array geometry. As a result, the airplane tracking is achieved in bistatic radar, laying the foundations for interference localization. The correctness and effectiveness of the proposed method are verified with the computer simulation.