Radar code design with a Peak to Average power Ratio constraint: A randomized approximate approach

A. De Maio, Y. Huang, M. Piezzo, S. Zhang, A. Farina

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

This paper considers the problem of radar waveform design in the presence of colored Gaussian disturbance under a Peak to Average power Ratio (PAR) and an energy constraint. Firstly, we focus on the selection of the radar signal optimizing the Signal to Noise Power Ratio (SNR) for a given target Doppler frequency (Algorithm 1). Then, we devise its phase quantized version (Algorithm 2), which forces the waveform phase to lie within a finite alphabet. Both the problems are formulated in terms of NP-hard non-convex quadratic optimization programs; in order to solve them, we resort to Semidefinite Programming (SDP) relaxation and randomization techniques, providing provable-quality sub-optimal solutions with a polynomial time computational complexity. Finally, we analyze the performance in terms of detection capability and robustness with respect to Doppler shifts.

Original languageEnglish (US)
Pages (from-to)436-440
Number of pages5
JournalEuropean Signal Processing Conference
StatePublished - Dec 1 2011
Event19th European Signal Processing Conference, EUSIPCO 2011 - Barcelona, Spain
Duration: Aug 29 2011Sep 2 2011

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