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Adaptive MFR Parameter Control: Fixed vs. Variable Probabilities of Detection

Summary: Adaptive MFR Parameter Control: Fixed vs. Variable
Probabilities of Detection
Yvo Boers
, Hans Driessen and Jitse Zwaga
Haaksbergerstraat 49
7554 PA Hengelo
The Netherlands
Email: {yvo.boers,hans.driessen,jitse.zwaga}@nl.thalesgroup.com
keywords: Multi Function Radar, Tracking, Optimization
In this paper an efficient adaptive parameter control scheme for Multi Function Radar (MFR) is used. The scheme
has been designed in such a way that it meets constraints on specific quantities that are relevant for target tracking while
minimizing the energy spent on a target or track. It is shown here, that this efficient scheme leads to a considerable
variation of the realized detection probability, even within a single scenario. We also show that constraining or fixing
the probability of detection to a certain predefined value leads to a considerable increase in the energy spent on the
target. This holds even when one optimizes the fixed probability of detection. The bottom line message is that the
detection probability is not a design parameter by itself, but merely the product of an optimal schedule.
1 Introduction
Modern radar systems might use an electronically scanned array or phased array to steer the beam electronically without


Source: Al Hanbali, Ahmad - Department of Applied Mathematics, Universiteit Twente


Collections: Engineering