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Proceedings Paper

Adaptive waveform scheduling in radar: an information theoretic approach
Author(s): Pawan Setlur; Natasha Devroye
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Paper Abstract

In this paper, the problem of adaptively selecting radar waveforms from a pre-dened library of waveforms is addressed from an information theoretic perspective. Typically, radars transmit specic waveforms periodically, to obtain for example, the range and Doppler of a target. Although modern radars are capable of transmitting dierent waveforms during each consecutive period of transmission, it is hitherto unclear as to how these waveforms must be scheduled to best understand the dynamic radar scene. In this paper, a new information theoretic metric - directed information - is employed for waveform scheduling, and is shown to incorporate the past radar returns to eectively schedule waveforms. We formulate this waveform scheduling problem in a Gaussian framework, derive the corresponding maximization problem, and illustrate several special cases.

Paper Details

Date Published: 3 May 2012
PDF: 11 pages
Proc. SPIE 8361, Radar Sensor Technology XVI, 836103 (3 May 2012); doi: 10.1117/12.919213
Show Author Affiliations
Pawan Setlur, Univ. of Illinois at Chicago (United States)
Natasha Devroye, Univ. of Illinois at Chicago (United States)

Published in SPIE Proceedings Vol. 8361:
Radar Sensor Technology XVI
Kenneth I. Ranney; Armin W. Doerry, Editor(s)

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