Photonics-based Bat-Wings-Inspired Waveform Dual-band RADAR to Detect, Classify, and Rectify Disturbances (Interference/Intrusion) for Secure and Robust Multi-RADAR Environment

​Grant funding 2022-2024
Ministry of Education and Sciences

The project goal is to identify and analyze primary sources of disturbances and overcome them through proposed scheme of Photonics-based Bat-Wings-Inspired Waveform Dual-band RADAR for a Multi-RADAR Environment. The project aims to address three significant challenges of the current LFM RADAR systems: Secure, Robustness, and Resolution, (S2R).

RADAR system stands out from other sensing devices and systems because of its efficiency in all-weather conditions and precision in detecting and ranging targets. However, electronics RADAR is constrained by its bandwidth bottleneck, signal-to-noise ratio (SNR), and limited frequency tunability. Photonics-based RADAR have the ability to achieve secure RADAR with improved detection, ranging, and resolution owing to the inherent advantages of photonics systems such as large bandwidth, low transmission loss, and wavelength division multiplexing, and multi-functionality. This project focuses on developing Photonics-based Bat-Wings-Inspired Waveform Dual-band RADAR to Detect, Classify, and Rectify Disturbances (Interference/Intrusion) for a Secure and Robust Intelligent RADAR for Multi-RADAR Environment.

1) Demonstration of Photonics RADAR system that can detect objects with the range resolution of mm.
2) Identify different types of interference and intrusion that can deteriorate the performance of RADAR
3) Demonstration of photonics-based Bat-Wings-Inspired-Waveform and its capability of mitigating interference and intrusions from the disturbing RADARs
4) Demonstrate a 2D RADAR imaging system using a single dimension measurement with a below-cm resolution in lateral and longitudinal dimensions.