Practical Co-Prime and Nested Samplers and Arrays for Radar and Radar Sensor Networks
Abstract
The objective of this project is to study practical Co-Prime and Nested Samplers and Arrays for radar and radar sensor networks, whi"ch includes five thrust areas: 1) Co-Prime and Nested Samplers for Radar Waveform Design. We have done some preliminary works on ne"sted sampling for waveform design, and it shows that much more spectrum efficient waveform could be designed. Our proposed works wo""uld introduce new applications to co-prime and nested samplers, which will promote this technology beyond beamforming and direction" finding. 2) Co-Prime and Nested Samplers for Non-stationary Signals. Our preliminary works show that some radar signals are non-st"ationary, which indicates that co-prime and nested samplers can t be applied to such cases. We propose to investigate such cases in" theory as well as applications. 3) Co-Prime and Nested Samplers and Arrays for Synthetic Aperture Radar Imaging. Our preliminary wo"rks show that the different sampling rate in slow-time domain generate different quality 2-D images, which shows sampling plays an i""mportant role in SAR imaging. In this project, we shall study effective slow-time and fast-time domain sampling based on co-prime an"d nested samplers. 4) Co-Prime and Nested Samplers and Arrays for Radar Sensor Networks. 5) Co-Prime and Nested Samplers and Arrays" for Sensor Fusion. The proposed algorithms will be evaluated using real world radar and radar sensor network data, so this project"" will lead to practical methodologies, algorithms and design tools with performance robust to uncertainty and adaptive to variations" in dynamic operating conditions of radar and radar sensor networks.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 01, 2017
- Source ID
- N000141712733
Entities
People
- Qilian Liang
Organizations
- Office of Naval Research
- United States Navy
- University of Texas at Arlington