activity
20242026
collaborators

8 papers

eess.SP2026

An X-Band Monopulse Direction-Finding Receiver Based on a Rat-Race Comparator and a Antipodal Vivaldi Array

M. Ahmad Nabil, Sohaib Yaqoob Chaudhry, Salman Liaquat

This paper presents the design, fabrication, and experimental validation of a compact monopulse direction-finding (DF) receiver operating in the X-band. The receiver combines a $2…

eess.SP2026

Design and Experimental Validation of a Multiband Cross-Polarization Conversion (CPC) Metasurface for Radar Cross Section (RCS) Reduction

Sohaib Yaqoob Chaudhry, Malik Muhammad Abdullah, Salman Liaquat +3

Radar cross-section (RCS) reduction is a fundamental requirement in modern stealth technology, playing a critical role in the low-observable performance of aerial and naval platfor…

eess.SP2026

A Closed-Form Noise-Sensitivity Asymmetry for Causal Branch Selection in Minimal-Array TDoA Localization

Abeer Nasir Chaudhry, Salman Liaquat, Hasan Saeed Mir

Minimal-array time-difference-of-arrival (TDoA) localization with three planar receivers reduces to a scalar quadratic whose two roots can both be feasible target positions, leavin…

eess.SP2026

: A Geometry-Quality Metric Complementary to GDoP for Closed-Form TDoA Multilateration

Abeer Nasir Chaudhry, Salman Liaquat, Muhammad Mohsin Khadim

The Geometric Dilution of Precision (GDoP) characterizes the noise sensitivity of a Time-Difference-of-Arrival (TDoA) localization system, but does not capture every way the analyt…

eess.SP2026

Feature-Level Robustness of Physics-Guided Micro-Doppler Descriptors for classification of Drones and Birds

Shaiq e Mustafa, Salman Liaquat, Imran Hafeez Abbasi +1

Micro-Doppler signatures are a proven modality for discriminating between drones and birds, but their reliability degrades in low-SNR, data-constrained settings where deep learning…

eess.IV2025

Using Continual Learning for Real-Time Detection of Vulnerable Road Users in Complex Traffic Scenarios

Faryal Aurooj Nasir, Salman Liaquat, Nor Muzlifah Mahyuddin

Pedestrians and bicyclists are among the vulnerable road users (VRUs) that are inherently exposed to intricate traffic scenarios, which puts them at increased risk of sustaining in…