Shaun W. Frost

TL;DR: The authors present a computationally efficient method for designing practical radar transmit waveforms that maximize the signal-to-interference-plus-noise ratio (SINR) in a known additive coloured Gaussian noise environment that relies on a parametrisation of the phase perturbations of a linear frequency modulated waveform.

TL;DR: This paper derives a closed-form prediction for PSLR and ISLR, which provide sidelobe estimates as a function of usable bandwidth and can aid in the decision making process of an adaptive radar.

TL;DR: In this paper, unconstrained algorithms for jointly designing complex digital transmit wave-forms and receive filters are considered, and performance for constrained radar waveform design is established for an instantiation of the interference spectrum.

TL;DR: Three sparse-frequency waveform designs are compared and it is critical that future sparse- frequency methods also consider constraints imposed by amplifiers, such as modulus and phase restrictions.