Evaluation of the measurement update interval for an adaptive radar scheduler

Author

Fatemi, Abbas ; Namazi, Nader M. ; Foster, George J.

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Catholic Univ. of America, Washington, DC, USA

fYear

2002

fDate

2002

Firstpage

354

Lastpage

357

Abstract

This paper presents a technique for determining the radar scheduler update interval. Given the system state-variable model and its statistical data, a matrix expression for the general order predictor error covariance matrix is derived. A cost function of this covariance matrix is solved to regulate the radar´s Kalman filter measurement update intervals. Simulation experiments are performed and results presented.

Keywords

Kalman filters; adaptive systems; covariance matrices; radar tracking; scheduling; state estimation; weapons; Kalman filter; adaptive radar scheduler; cost function; covariance matrix; predictor error; radar track; scheduler update interval; state estimation; state-variable model; weapon systems; Adaptive scheduling; Cost function; Covariance matrix; Filters; Predictive models; Processor scheduling; Radar antennas; Radar measurements; Radar tracking; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, 2002. Proceedings of the Thirty-Fourth Southeastern Symposium on

ISSN

0094-2898

Print_ISBN

0-7803-7339-1

Type

conf

DOI

10.1109/SSST.2002.1027066

Filename

1027066

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2137882