Optimizing the Tradeoff Between Radar Waveform Resolution and Sidelobe Level Using a Dolph-Chebyshev Approach

The design and optimization of radar waveforms to possess minimal sidelobes has been an active area of research for decades. Here a new formulation of the trade space between the intrinsic resolution of a radar waveform and its sidelobe level is explored. Specifically, the tradeoff between main lobe...

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Bibliographic Details
Published in2023 IEEE Radar Conference (RadarConf23) pp. 1 - 6
Main Authors Carlton, Brian D., McDaniel, Jay W., Metcalf, Justin G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2023
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Summary:The design and optimization of radar waveforms to possess minimal sidelobes has been an active area of research for decades. Here a new formulation of the trade space between the intrinsic resolution of a radar waveform and its sidelobe level is explored. Specifically, the tradeoff between main lobe resolution and sidelobe level is formally linked via the Dolph-Chebyshev window formulation. It is shown that the frequency-domain Dolph-Chebyshev formulation can be leveraged to generalize this tradeoff for waveform design. Further, the two-tone waveform (known to be optimal from a resolution perspective) and the Gaussian power spectral density waveform (known to be optimal from a sidelobe perspective) are shown to be special cases of this more generic expression. Finally, this new waveform design technique is combined with the pseudo-random optimized frequency modulation (PRO-FM) framework to produce physically realizable. constant modulus waveforms.
DOI:10.1109/RadarConf2351548.2023.10149704