Adaptive waveform scheduling in radar: an information theoretic approach

Pawan Setlur; Natasha Devroye

doi:10.1117/12.919213

3 May 2012 Adaptive waveform scheduling in radar: an information theoretic approach

Pawan Setlur, Natasha Devroye

Proceedings Volume 8361, Radar Sensor Technology XVI; 836103 (2012) https://doi.org/10.1117/12.919213
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

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.

Citation Download Citation

Pawan Setlur and Natasha Devroye "Adaptive waveform scheduling in radar: an information theoretic approach", Proc. SPIE 8361, Radar Sensor Technology XVI, 836103 (3 May 2012); https://doi.org/10.1117/12.919213

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