Salman Liaquat

ORCID: 0000-0003-0226-001X
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About
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Research Areas
  • Radar Systems and Signal Processing
  • Advanced SAR Imaging Techniques
  • Radio Wave Propagation Studies
  • Advanced Measurement and Detection Methods
  • Fault Detection and Control Systems
  • Infrared Target Detection Methodologies
  • Advanced Optical Sensing Technologies
  • Indoor and Outdoor Localization Technologies
  • Currency Recognition and Detection
  • Energy Efficient Wireless Sensor Networks
  • Remote-Sensing Image Classification
  • Ocean Waves and Remote Sensing
  • UAV Applications and Optimization
  • Target Tracking and Data Fusion in Sensor Networks
  • Mineral Processing and Grinding
  • Ultrasonics and Acoustic Wave Propagation
  • Cultural Heritage Materials Analysis
  • Geophysical Methods and Applications
  • Underwater Vehicles and Communication Systems

Universiti Sains Malaysia
2023-2025

The increasing use of Global Positioning System (GPS)-based autonomous drones in various civilian and military applications has raised concerns about malicious or unintentionally harmful activities that can be carried through them. It is necessary to detect these intruding within protected areas prevent their unauthorized access by denying them entry. We propose a framework combines the detection using an L-band radar then counters transmitting fake GPS coordinates toward drones, effectively...

10.1016/j.asej.2024.102707 article EN cc-by Ain Shams Engineering Journal 2024-03-05

Detecting ink mismatch is a significant challenge in verifying the authenticity of documents, especially when dealing with uneven distribution. Conventional imaging methods frequently fail to distinguish visually similar inks. Our study presents novel hyperspectral unmixing approach detect mismatches unbalanced clusters. The proposed method identifies unique spectral characteristics different inks employing k-means clustering and Gaussian Mixture Models (GMMs) perform color segmentation on...

10.1016/j.jiixd.2024.01.004 article EN cc-by Journal of Information and Intelligence 2024-01-21

This tutorial presents an end-to-end modular framework for signal processing techniques used in radar systems. The taxonomy of has been reviewed, as well the subsystems radar. range equation is discussed, and its terms are explained. operating principle (RSP) to implement those operations have highlighted. simulation a complete performed, results shown after each stage/module radar, enabling reader appreciate impact specific process on signal. transmitter, antenna, receiver simulated Matlab...

10.1109/maes.2023.3334689 article EN IEEE Aerospace and Electronic Systems Magazine 2023-11-20

Metallic materials such as brass, copper, and aluminum are used in numerous applications, including industrial manufacturing. The vibration characteristics of these objects unique can be to identify from a distance. This research presents methodology for detecting classifying metallic using the dynamics induced by their micro-Doppler signatures. proposed approach utilizes image processing techniques extract pivotal features spectrograms. These spectrograms originate signatures data collected...

10.48550/arxiv.2410.19632 preprint EN arXiv (Cornell University) 2024-10-25

Civilian and military aircraft face significant threats from passive missiles, such as short-range or within-visualrange air-to-air missiles (SRAAMs WVRAAMs) manportable air defense systems (MANPADS), which do not emit radio frequencies (RF) thus evade detection by an aircraft's Radar Warning Receiver (RWR).In this paper, we present a deep learning-based missile algorithm utilizing simulated Solar Blind Ultraviolet (SBUV) signatures of offer inherent advantages over infrared (IR)...

10.36227/techrxiv.171591411.11726216/v1 preprint EN cc-by 2024-05-17
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