Yasushi Obata

Computation-time reduction of track oriented multiple hypothesis tracking

In recent years MHT (multiple hypothesis tracking) attracts much attention because of its tracking performance. MHT has heavy computation load problem and an approach for computation time reduction by applying N-best algorithm was reported. We have improved the function of MHT and named the improved algorithm as track oriented MHT. It has different data structure from original Reids MHT d(1984), so N-best algorithm can not be applied to it straightforwardly. We show the applying method of N-best algorithm to track oriented MHT. And also we show the efficiency of the method by comparing the computation time in a simulation.

Altitude estimation using particle filter with monopulse radars in a multipath environment

The problem of multipath propagation in the tracking low-altitude targets with a radar is addressed. It is well known that multipath fading causes bias errors to the target altitude over the sea. Since the bias error caused by multipath propagation depends on a large number of parameters such as the frequency of the radar waveform, the actual target altitude, and range, it is difficult to estimate the bias errors. In this paper, we propose an altitude estimation method using particle filter and multipath propagation model. The performance of the proposed method is verified through computer simulations.