Share Email Print

Proceedings Paper

Score-based gating control method in the presence of stop-move maneuvering motorboat's wake
Author(s): Fatih Pektas
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

A motorboat’s wakes can cause difficulties as they appear in a track’s gate. While a motorboat is idle for long enough, the gate size reduces to its minimum. Immediately after, if motorboat makes a stop-move maneuver with maximum acceleration, true radar measurement can appear off the gate. In this case, the tracker can continue to update the track with target’s wake measurements falling in gate and this can mislead the tracker. In order not to miss the true measurement belonging to a track, a secondary gate should be created with larger size than that of the primary gate at the same gate center. However, this gate should only be created when an anomaly is detected at the tracker. This paper investigates when such secondary gates should be created. In this paper, a score-based method is presented to control gating in the presence of wake left behind a suddenly accelerated boat. This method is based on scoring the probability distributions characterizing the number radar measurements. The number of detections coming from clutter is K-distributed and the number of detections belonging to true target is Poisson distributed across the surveillance region. The method treats the motorboat’s wake as target originated measurement rather than clutter. Therefore, a probability distribution similar to true target’s with a different parameter is used to score the wake separately. Based on the scores, security gating decision is made. The real data experiments show that track continuity is maintained successfully with the use of score-based gating control method.

Paper Details

Date Published: 20 May 2013
PDF: 8 pages
Proc. SPIE 8744, Automatic Target Recognition XXIII, 874408 (20 May 2013); doi: 10.1117/12.2015352
Show Author Affiliations
Fatih Pektas, Aselsan Inc. (Turkey)

Published in SPIE Proceedings Vol. 8744:
Automatic Target Recognition XXIII
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

© SPIE. Terms of Use
Back to Top