A5080134346- Indoor and Outdoor Localization Technologies
- Millimeter-Wave Propagation and Modeling
- Radio Wave Propagation Studies
- Inertial Sensor and Navigation
- Advanced MIMO Systems Optimization
- Power Line Communications and Noise
- Sensor Technology and Measurement Systems
- Advanced Wireless Communication Technologies
- Artificial Intelligence in Healthcare
- Cooperative Communication and Network Coding
- GNSS positioning and interference
- Scientific Measurement and Uncertainty Evaluation
- Brain Tumor Detection and Classification
- UAV Applications and Optimization
- Satellite Communication Systems
- Medical Imaging and Analysis
- Robotics and Sensor-Based Localization
- Augmented Reality Applications
- Advanced Sensor Technologies Research
- Autonomous Vehicle Technology and Safety
- Target Tracking and Data Fusion in Sensor Networks
- Robotic Path Planning Algorithms
- Human Mobility and Location-Based Analysis
- Automated Road and Building Extraction
- Electric Power Systems and Control
Chalmers University of Technology
2024-2025
Queen's University
2021-2024
Royal Military College of Canada
2022-2023
Qatar University
2016-2017
The rapid evolution of cellular networks has introduced groundbreaking technologies, including large and distributed antenna arrays reconfigurable intelligent surfaces in terrestrial (TNs), as well aerial space-based nodes non-terrestrial (NTNs). These advancements enable applications beyond traditional communication, such high-precision localization sensing. While integrating TN NTN enablers will lead to unparalleled opportunities for seamless global localization, integration attempts are...
Sinusoidal encoders are used for the measurement of angular position and linear displacement. These provide electrical signals dependent on sine cosine θ their moving part relative to stationary one. Conventional tangent/cotangent converters determining from encoder produce alternating highly non-linear segments tangent cotangent. Lookup tables θ. This paper presents a novel converter estimating without lookup table. The method is based dividing circle interval into N sections. A crude or...
The novel signaling and architectural features of 5G promise a major role in providing accurate, precise, continuous positioning where satellite-based systems may fail. In the case time-based trilateration, optimal estimators like extended Kalman filter (EKF) can be used to estimate position with aid time-of-arrival (TOA) round-trip-time (RTT) measurements. However, linearization measurement model by EKF lead errors. Such errors are further magnified due narrow geometrical placement...
5G NR mm Wave promises accurate positioning down to the centimeter level. However, mmWave signals endure prismatic propagation, making them prone signal blockages and non-line of sight (NLoS) communications. To achieve a precise solution, it is rather essential filter out NLoS gNBs as they yield erroneous pose estimation IoT vehicular applications. Previous works have attempted address this issue, however, are either based on impractical or invalid assumptions about operation scenario. In...
5G mmWave technology can turn multipath into a friend, as components become highly resolvable in the time and angle domains. Multipath signals have not only been used literature to position user equipment (UE), but also create map of surrounding environment. Yet, many multipath-based methods share common assumption, which entails that are caused by single-bounce reflections only, is usually case. There very few accurately filters out higher-order reflections, renders exploitation...
Resolvers and other sinusoidal encoders provide electrical signals related to the sine cosine of unknown angular position their rotor shafts. Conventional tangent/cotangent converter used with these transducers for determining is based on computation ratio between smallest largest absolute values signals. This produces highly non-linear segments tangent cotangent requiring large-size look-up tables determination angle. In this work, a novel method presented implementing technique without...
A key operational requirement for Autonomous vehicles (AVs) is to have a highly reliable positioning at the sub-meter lane-level accuracy. However, it well-known that current satellite- and perception-based systems suffer in achieving this desired accuracy urban settings during rough weather conditions. This research explores strong potentials of soon-to-be-deployed 5G wireless technology capable overcoming these limitations provides an uninterrupted everywhere with lane level The high cell...
Fifth-generation (5G) networks are expected to provide high-precision positioning estimation utilizing mmWave signals in urban and downtown areas. In such areas, 5G base stations (BSs) will be densely deployed, allowing for line-of-sight (LOS) communications between the user equipment (UE) multiple BSs at same time. Having access a plethora of measurement sources grants need optimal integration have an accurate precise solution. Traditionally, multi-BS fusion is conducted via extended Kalman...
5G-based mmWave wireless positioning has emerged as a promising solution for autonomous vehicle (AV) in recent years. Previous studies have highlighted the benefits of fusing line-of-sight (LoS) 5G with an Inertial Navigation System (INS) improved solution. However, highly dynamic environment urban areas, where AVs are expected to operate, poses challenge, non-line-of-sight (NLoS) communication can deteriorate and lead erroneous corrections INS. To address this we exploit multipath LoS...
Achieving the highest levels of autonomy within autonomous vehicles (AV s) requires a precise and dependable positioning solution that is not influenced by environment. 5G mm Wave signals have been extensively studied in literature to provide such solution. Yet, it evident alone will be able uninterrupted services, as outages are inevitable occur. Towards end, few works explored benefits integrating with onboard motion sensors (OBMS) like inertial measurement units (IMUs) odometers. Inspired...
5G small cells have the potential to enable sub-meter positioning accuracy in urban canyons and downtown areas, where global navigation satellite system (GNSS) precise point (PPP) suffers most. As is expected a dense deployment of base stations (BSs), it became imperative utilize extra information available by means sensor fusion. Traditionally, an extended Kalman filter (EKF) used for such purpose. Yet, one its main drawbacks that requires linear relationship between states measurements...
As 6G emerges, cellular systems are envisioned to integrate sensing with communication capabilities, leading multi-faceted and (JCAS). This paper presents a comprehensive cross-layer overview of the Hexa-X-II project's endeavors in JCAS, aligning use cases service requirements pinpointing distinct scenarios that bridge sensing. work relates these through lens physical networking domains, covering models, deployments, resource allocation, storage challenges, computational constraints,...
Autonomous vehicles (AVs) are poised to revolutionize the transportation industry by enhancing traffic efficiency and road safety. However, achieving optimal vehicular autonomy demands an uninterrupted precise positioning solution, especially in deep urban environments. 5G mmWave holds immense potential provide such a service due its accurate range angle measurements. Yet, as signals prone signal blockage, severe errors will occur. Most of literature relies on constant motion models bridge...
6G networks aim to enable applications like autonomous driving by providing complementary localization services through key technologies such as non-terrestrial (NTNs) with low Earth orbit (LEO) satellites and reconfigurable intelligent surfaces (RIS). Prior research in using single LEO, multi-LEO, multi-LEO multi-RIS setups has limitations: LEO lacks the required accuracy, while multi-LEO/RIS demand many visible RISs, which is not always feasible practice. This paper explores novel problem...
Constrained environments, such as indoor and urban settings, present a significant challenge for accurate moving object positioning due to the diminished line-of-sight (LoS) communication with wireless anchor used positioning. The 5th generation new radio (5G NR) millimeter wave (mmWave) spectrum promises high multipath resolvability in time angle domains, enabling utilization of signals problems rather than mitigating their effects. This paper investigates benefits integrating into 5G...
5G/6G small cells have the potential to enable sub- meter positioning accuracy in urban canyons and downtown scenarios, where global navigation satellite systems (GNSS) suffer most. In order offer a robust time-based trilateration position solution, extended Kalman filter (EKF) is usually utilized estimate position. One of main drawbacks EKF lies its linearization state dynamics processes, which would inevitably induce errors. Such errors propagate through filter, will eventually lead this...
Constrained environments, such as indoor and urban settings, present a significant challenge for accurate moving object positioning due to the diminished line-of-sight (LoS)communication with wireless anchor used positioning. The 5th generation new radio (5G NR) millimeter wave (mmWave) spectrum promises high multipath resolvability in time angle domain, enabling utilization of signals problems rather than mitigating their effects. This paper investigates benefits integrating into 5G...