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CyPMLI: WISL-Minimized Unimodular Sequence Design via Power Method-Like Iterations

Arian Eamaz (University of Illinois - Chicago, IL); Farhang Yeganegi (University of Illinois Chicago); Mojtaba Soltanalian (University of Illinois)

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06 Jun 2023

To facilitate target localization, active radar signals or sequences are designed to have low auto-correlation. This goal is typically achieved by the minimization of the auto-correlation integrated sidelobe level (ISL) metric, or the weighted more general version of ISL, known as the WISL metric. In this work, we propose an efficient approach to WISL minimization for unimodular sequence design that takes advantage of the low-cost and easily implementable power method-like iterations (PMLI). Several numerical results are presented to illustrate the effectiveness of the proposed.

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