Adaptive MFR parameter control: fixed vs. variable probabilities of detection

Yvo Boers; Hans Driessen; Jitse Zwaga

doi:10.1117/12.614887

15 September 2005 Adaptive MFR parameter control: fixed vs. variable probabilities of detection

Yvo Boers, Hans Driessen, Jitse Zwaga

Proceedings Volume 5913, Signal and Data Processing of Small Targets 2005; 59131M (2005) https://doi.org/10.1117/12.614887
Event: Optics and Photonics 2005, 2005, San Diego, California, United States

Abstract

In this paper an efficient adaptive parameter control scheme for Multi Function Radar (MFR) is used. This scheme has been introduced in.⁵ 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. It is shown here, that this optimal 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.

Citation Download Citation

Yvo Boers, Hans Driessen, and Jitse Zwaga "Adaptive MFR parameter control: fixed vs. variable probabilities of detection", Proc. SPIE 5913, Signal and Data Processing of Small Targets 2005, 59131M (15 September 2005); https://doi.org/10.1117/12.614887

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