Print Email Facebook Twitter Waveform Design for Sparse Signal Processing in Radar Title Waveform Design for Sparse Signal Processing in Radar Author Anitori, L. Ender, J. Publication year 2021 Abstract In the past decades, there has been an extensive research interest in the areas of both waveform diversity/design and advanced signal processing algorithms departing from the more classical solutions based on Linear Frequency Modulated (LFM) pulses and Matched Filters (MF). In the waveform diversity community, especially within the context of spectrum sharing, MIMO and cognitive radars, several waveform optimization and design methodologies have been studied, see ,  and references therein. In parallel to waveform design, several signal processing techniques have also been proposed which exploit some kind of prior knowledge and/or iterative algorithms to improve the performance of the more classical MF, such as the Adaptive Pulse Compression(APC) , MUSIC , CLEAN  and Sparse Signal Processing (SSP) , . In this paper we present some results and examples to show how the combination of waveform design with SSP can lead to improved performance in radar compared to the more classical approach. Subject Defence ResearchDefence, Safety and Security To reference this document use: http://resolver.tudelft.nl/uuid:283ee88b-5ead-4dc5-ae56-5f9b36751838 TNO identifier 952771 Publisher IEEE Source IEEE Radar Conference, Atlanta, 11-14 mei 2021 Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.