Conformal Antennas for GNSS/NavIC
Development of compact, low-profile antennas that conform to the surface of a platform (such as aircraft, UAVs, vehicles, or satellites) without compromising signal reception. These antennas are optimized for GNSS and NavIC signals, enabling integration in applications where aerodynamics, stealth, and aesthetics are critical.
The laboratory conducts advanced research on GNSS spoofing detection and signal authentication for secure Positioning, Navigation, and Timing (PNT) applications. The facility supports real-time spoofing detection, navigation data validation, signal integrity monitoring, and RF analysis using SDR, FPGA, and multi-constellation GNSS technologies.
GNSS jamming detection and interference analysis for secure Positioning, Navigation, and Timing (PNT) applications. The project focuses on identifying, monitoring, and mitigating intentional and unintentional RF interference affecting GNSS and NavIC signals using SDR, FPGA, and advanced signal processing techniques
RF Sub-Component Designs for L1, L5, and S-Band
Design and development of high-performance RF front-end sub-components—including filters, low-noise amplifiers (LNAs), and mixers—tailored for the L1, L5, and S-band frequencies. These components ensure minimal signal loss, reduced noise, and enhanced sensitivity for GNSS and NavIC receivers.
Non-Uniform Array Antennas for GNSS
Engineering of non-uniform array configurations to achieve superior beamforming, reduced sidelobes, and improved multipath rejection. These designs enhance positioning accuracy and robustness, especially in challenging environments like urban canyons or under foliage.
5. 5G/6G + GNSS Integration for Precise Positioning
Research and development on integrating next-generation 5G/6G networks with GNSS technology to achieve centimeter-level positioning accuracy. This hybrid approach leverages the high data rates, low latency, and dense cell infrastructure of 5G/6G with the global coverage of GNSS for applications in autonomous systems, smart cities, and IoT.
Foundational Research