Title :
An improved tracking algorithm for target detection
Author :
Kumar, K. Anil ; Rao, G. Raghava ; Murukutla, N.L.M.
Author_Institution :
R&T Unit for Navigational Electron., Osmania Univ., Hyderabad, India
Abstract :
Both the range and Doppler (radial velocity) measurements are used to improve tracking. The radial velocity improves the target track correlation process and reduces the associated ambiguity in the clutter environment. Since the measurement model obtained is nonlinear, it has to be linearized; hence an extended Kalman filter (EKF) algorithm is used. The radial velocity component of the innovation sequence is monitored, as it tends to be more susceptible to maneuver than the position feature of the innovation sequence. The subsequent algorithm to process the data is nonlinear and adaptive. The feasibility of the algorithm is substantiated by appropriate results.<>
Keywords :
Doppler effect; Kalman filters; algorithm theory; distance measurement; signal detection; tracking; Doppler; clutter; correlation; extended Kalman filter; radial velocity; range measurement; target detection; tracking algorithm; Algorithms; Distance measurement; Doppler effect; Kalman filtering; Signal detection; Tracking;
Conference_Titel :
Systems Engineering, 1989., IEEE International Conference on
Conference_Location :
Fairborn, OH, USA
DOI :
10.1109/ICSYSE.1989.48662