Adaptive-update-rate target tracking for phased-array radar

Author

Shin, H.-J. ; Hong, S.-M. ; Hong, D.-H.

Author_Institution

Dept. of Electron., Kyungpook Nat. Univ., Taegu, South Korea

Volume

142

Issue

3

fYear

1995

fDate

6/1/1995 12:00:00 AM

Firstpage

137

Lastpage

143

Abstract

An adaptive-update-rate target-tracking algorithm is proposed for a phased-array radar. The algorithm is based on the interacting-multiple-model (IMM) algorithm. The purpose of this IMM algorithm is twofold: to estimate and predict the target states; and to estimate the level of the dynamic process noise. The estimate of the process-noise level is used to determine the update interval adapted to the changing target dynamics. The update interval is determined so that the number of track updates per unit time in reflection of beam-positioning losses can be reduced. The proposed algorithm is implemented for a phased-array radar tracking and evaluated with Monte Carlo simulations on various trajectories. The evaluation results of the proposed algorithm are presented and compared with the results of the `cube-root filter´

Keywords

adaptive signal processing; filtering theory; noise; phased array radar; prediction theory; radar tracking; IMM algorithm; Monte Carlo simulations; adaptive update rate target tracking algorithm; beam-positioning losses; cube-root filter; dynamic process noise; evaluation results; interacting multiple model algorithm; phased array radar; process-noise level; target dynamics; target states estimation; target states prediction; trajectories; update interval;

fLanguage

English

Journal_Title

Radar, Sonar and Navigation, IEE Proceedings -

Publisher

iet

ISSN

1350-2395

Type

jour

DOI

10.1049/ip-rsn:19951903

Filename

392532