IRS-Aided Radar: Foundations, Fundamental Limits, and Algorithms
Abstract
The goal of this project is to establish the theoretical foundations as well as the algorithmic foundations for the application of intelligent reflecting surfaces (IRS) in the context of radar. IRS has recently attracted a lot of interest in wireless communications research. However, given its properties, IRS can lead to significant gains in radar signal processing applications. To unleash this untapped potential, this project investigates: - The radar models and information fusion schemes that include the application of IRS, including multiple IRS and moving IRS platforms. - Fundamental limits and algorithms for IRS-aided radar waveform design as well as IRS optimization and agility. Formulation of the joint radar waveform and IRS quantized-phase optimization will not only lay the ground for low-cost algorithmic approaches for agile and enhanced radar systems, but also provides opportunities for an analytical study of performance bounds of IRS-aided radar, including the best-case and worst-case scenarios. - The line-of-sight and non-line-of-sight gains that can be obtained through IRS deployment in comparison to typical line-of-sight radar scenarios without applying IRS. - The impact of quantization in IRS optimization in the context of radar signal processing. - The impact of lower speed of change in IRS structure than the radar waveforms. In addition to such gains, there will be particular interest in the game-changing developments in radar signal processing arena that emerge due to the application of IRS, including advances in target scene sparsification, establishment of Òradar hotspotsÓ in the vicinity of IRS platforms, jamming and spoofing prevention, as well as a more effective exploitation of signals of opportunity. UIC is one of the most diverse research-intensive universities in the United States. Based upon its full-time undergraduate enrollment it is designated as a Minority Serving Institution (MSI), an Asian American and Native American Pacific Islander-Serving Institution (AANAPISI), and a Hispanic Serving Institution (HSI). This project will directly impact UICÕs ability in educating the next generation of radar engineers from underrepresented groups and to prepare them for future relevant opportunities at DoD research laboratories and industry.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Oct 12, 2022
- Source ID
- W911NF2210263
Entities
People
- Mojtaba Soltanalian
Organizations
- Army Contracting Command
- United States Army
- University of Illinois at Chicago