Title :
Precision tracking algorithms for ISAR imaging
Author :
Wu, Haiqing ; Delisle, Gilles Y.
Author_Institution :
Laval Univ., Que., Canada
Abstract :
The simultaneous imaging and tracking of a moving target is one of the most difficult problems in inverse synthetic aperture radar (ISAR) signal processing. The problem is addressed here using a two-antenna imaging radar. The target range shift is sensed with an exponentially averaged envelope correlation algorithm while the angle change is measured with a differential phase shift algorithm. The three state Kalman filters are used in range and azimuth dimensions to provide both a filtered estimate and a one-sample-ahead prediction for the purpose of target tracking. The filtered range shift provides an accurate information for range bin alignment, and the target angle change provides the angular positions of the synthetic array elements. Therefore, the ISAR imaging simply becomes processing of a circular-arc aperture. The algorithms are verified both by computer simulations and also with experimental data processing.
Keywords :
Kalman filters; correlation methods; radar imaging; radar tracking; synthetic aperture radar; target tracking; ISAR imaging; Kalman filters; angle change; angular positions; circular-arc aperture; differential phase shift algorithm; exponentially averaged envelope correlation algorithm; filtered estimate; inverse synthetic aperture radar; moving target tracking; one-sample-ahead prediction; precision tracking algorithms; range bin alignment; target range shift; two-antenna imaging radar; Azimuth; Goniometers; Inverse synthetic aperture radar; Phase measurement; Radar imaging; Radar signal processing; Radar tracking; Signal processing algorithms; State estimation; Target tracking;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on