Evaluation of the measurement update interval for an adaptive radar scheduler

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...

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Bibliographic Details
Main Authors: Fatemi, A., Namazi, N.M., Foster, G.J.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive scheduling
Cost function
Covariance matrix
Filters
Predictive models
Processor scheduling
Radar antennas
Radar measurements
Radar tracking
Systems engineering and theory
Online Access:Request full text
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Description
Summary: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.
ISSN:0094-2898
2161-8135
DOI:10.1109/SSST.2002.1027066