Signal Processing Commons^™

Radar Network Synchronization And Imaging Using Semiconductor Laser System, Meesha Gupta

Honors Theses

The purpose of this project is to report the software implementation of radar network synchronization and imaging using a semiconductor laser system. We compare different radar configurations and methods to generate laser chaos.

The monostatic radar configuration has limited capabilities of detecting targets with low radar cross-sections. This configuration is also vulnerable to intentional interference. In contrast, a radar network where multiple radar transceivers (nodes) are placed strategically can yield superior detection. This radar network can also extract additional information about the target, such as its size and shape. However, synchronizing the nodes in the radar network poses a significant …

Chaos-Based Coffee Can Radar System, Conor Willsie, Rong Chen

Honors Theses

Linear frequency modulated (LFM) radar systems are simple and easy to implement, making them ideal for inexpensive undergraduate research projects. Unfortunately, LFM radar schemes have multiple limitations that make them unviable in many real-world applications. Given the limitations of LFM radar systems, we propose a chaos-based frequency modulated (CBFM) system. In this paper, we present the theory, design, and experimental verification of a CBFM radar system that has both ranging and synthetic aperture radar imaging capabilities. The performance of our CBFM system is compared to that of the LFM system designed by MIT. We document many challenges and unforeseen obstacles …