Manoeuvring target tracking using multiple bistatic range and range-rate measurements. (English) Zbl 1186.94274

Petsios, Michail N.; Alivizatos, Emmanouil G.; Uzunoglu, Nikolaos K.

Signal Process. 87, No. 4, 665-686 (2007).

Summary: This paper investigates the problem of manoeuvring target tracking, using multiple bistatic range and bistatic range-rate measurements from a number of bistatic radars, consisting a multistatic radar. The contribution of the paper is twofold. First, a theoretical lower bound of the performance error is derived and analyzed. Second, four filtering algorithms are proposed, presented and compared to the theoretical bound. The proposed algorithms include: (i) sequential iterated extended Kalman filter (SI-EKF), (ii) iterated unscented Kalman filter (I-UKF), (iii) interactive multiple model algorithm combined with sequential iterated extended Kalman filter (IMM-SI-EKF), and (iv) interactive multiple model algorithm combined with iterated unscented Kalman filter (IMM-I-UKF). Monte Carlo simulation demonstrates the track accuracy performance and computational complexity of each algorithm for manoeuvring targets.

MSC:

94A12

Signal theory (characterization, reconstruction, filtering, etc.)

Keywords:

target tracking; cramer-rao bound; nonlinear tracking; sequential iterated extended Kalman filter; iterated unscented Kalman filter; manoeuvring target; interacting multiple model; multistatic radar