Abstract—An algorithm is proposed for estimating the shape and velocity of a moving target using dual Doppler radars. The proposed algorithm estimates a target velocity and orbit with a fusion of parameters measured by the dual Doppler radar interferometers and the α-β-γ tracking filtering. The accurate shape is then estimated by motion compensation using the estimated velocities. Numerical simulations verify that the proposed algorithm achieves accurate and real-time velocity/shape estimation. The root-mean-square error for velocity estimation is 1.20 cm/s and for shape estimation is 0.317 mm, which corresponds to 1/237 of the nominal resolution determined by the radar bandwidth.

Index Terms—Doppler radar interferometer, velocity and shape estimation, data fusion, α-β-γ tracking filter.

Department of Electronic and Computer Engineering, Ritsumeikan University, Kusatsu, Japan.

Cite:Kenshi Saho, Masao Masugi, "Velocity/Shape Estimation Algorithm Using Tracking Filter and Data Fusion of Dual Doppler Radar Interferometers," International Journal of Computer and Electrical Engineering vol. 7, no. 5, pp. 283-295, 2015.