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IET Radar, Sonar & Navigation
Scopus
ISSN 1751-8792 · Wiley · 758 artikel di indeks
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Artikel Jurnal
Probability Hypothesis Density Filter‐Based Group Target Tracking Algorithm Using Rigid‐Body Similarity Model and Measurement Fusion: Implementations Across Random Finite Set Frameworks
ABSTRACT This paper addresses the measurement quality optimisation problem in multiple resolvable group target tracking (MRGTT), proposing an improved MRGTT algorithm based on rigid‐body similarity model and optimal measurement fusion. Firstly, a unified framework for group target motion and…
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Artikel Jurnal
E‐SDHGN: A Multifunction Radar Working Mode Recognition Framework in Complex Electromagnetic Environments
ABSTRACT A multifunction radar (MFR) can operate in multiple modes and perform various tasks such as surveillance, detection, fire control, search and tracking. Recognising an MFR's operating mode is critical in electronic warfare and intelligence reconnaissance, aiding practical threat assessment…
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Artikel Jurnal
Multistatic Localisation in Passive Radar System for LEO Space Objects Observation Using Terrestrial Illuminators and LOFAR Radio Telescope
ABSTRACT The paper introduces and discusses the concept and findings of experimental trials focused on the passive multistatic radar localisation of low‐Earth orbit (LEO) space objects using terrestrial illuminators and a LOFAR (LOw‐Frequency ARray) radio telescope. In the considered solution…
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Artikel Jurnal
Variational Bayesian Inference for Multiple Extended Targets or Unresolved Group Targets Tracking
ABSTRACT In this work, we propose a method for tracking multiple extended targets or unresolvable group targets in a clutter environment. First, based on the random matrix model (RMM), each target's joint kinematic–extent state is modelled as a gamma Gaussian inverse Wishart (GGIW) distribution…
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Artikel Jurnal
Passive Target Motion Analysis With Own‐Ship Location Uncertainty in the Presence of Non‐Gaussian Sensor Noise
ABSTRACT Passive target motion analysis (TMA) is traditionally performed using angle‐only measurements, which requires the own‐ship to execute a manoeuvre to make the tracking system observable. These manoeuvres are burdensome for the naval community. In contrast, this work explores underwater TMA…
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Artikel Jurnal
Research on the Combined Detection of Magnetic Anomaly and Shaft‐Rate Magnetic Field Signals
ABSTRACT Due to the stable propagation of magnetic signals in ocean and air, magnetic detection technology has become an effective means for nonacoustic detection. The magnetic anomaly signal and shaft‐rate magnetic signal radiated by underwater vehicles are currently the most effective magnetic…
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Artikel Jurnal
Ambiguity and area preserving linear transformations in over‐the‐horizon radar
Abstract The use of recurrent waveforms in over‐the‐horizon radar (OTHR) necessitates techniques for ambiguity resolution and manipulation. This paper provides a number of techniques for manipulating the shape of radar ambiguity functions. A new and simple characterisation of the radar ambiguity…
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Artikel Jurnal
Fault Modes and Methods to Evaluate Integrity Risk for FastSLAM‐Based Navigation
ABSTRACT The fast simultaneous localisation and mapping (FastSLAM), utilising the Rao‐Blackwellised particle filter, provides a robust navigation solution in urban environments. Ensuring the integrity of FastSLAM is critical for the safety of autonomous driving applications. Our previous work…
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Artikel Jurnal
Machine Learning Doppler‐Tolerant One‐Bit Radar Detectors
ABSTRACT Doppler‐tolerant waveforms are some of the most common radar waveforms used in practice. However, their deterministic and repetitive nature impedes control of mutual interference when multiple radars operate in close proximity. Noise radar technology may address this problem but is not…
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Artikel Jurnal
Radar Anti‐Jamming Performance Evaluation: A Novel Model Based on Measurement Error and RCS Distributions
ABSTRACT The growing complexity of the electromagnetic environment makes accurate radar anti‐jamming performance evaluation essential for assessing the effectiveness of electronic countermeasure systems. In jamming scenarios, smaller measurement errors in range indicate a radar's enhanced ability…
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Artikel Jurnal
An Effective Method Incorporating Binary Prior Information for Programmable Metasurface‐Based Microwave Computational Imaging
ABSTRACT Microwave computational imaging (MCI) combined with programmable metasurface (PMS) has seen significant advancements in recent years. This new microwave imaging technology performs multiplexed measurements by manipulating the radiation pattern of PMS and acquires the spatial resolution…
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Artikel Jurnal
A Gaussian Unscented Kalman Filter algorithm for indoor positioning system using Ultra Wide Band measurement
Abstract In order to further improve the accuracy of the non‐linear positioning model in the research of ultra wide band (UWB) indoor positioning, a Gaussian unscented Kalman filter (GUKF) algorithm is proposed in this paper. This localisation algorithm first uses a Gaussian function to design a…
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Artikel Jurnal
Concept and theoretical performance analysis for decentralised digital synchronisation in distributed radar sensor networks
Abstract This paper presents a decentralised technique for achieving frequency, time, and phase synchronisation of platforms cooperating in a distributed radar sensor network. The proposed method is advantageous for existing digital radar systems as it can be implemented entirely in the software…
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Artikel Jurnal
Monte Carlo Modelling of Echoes Reflected by High‐Rise Architectural Landmarks in UAV Anticollision Radar
ABSTRACT This paper presents a novel approach to synthesising radar echoes for unmanned aerial vehicle (UAV) anticollision systems, specifically focusing on the challenges posed by high‐rise architectural landmarks in urban environments. We employ a Monte Carlo method to generate synthetic radar…
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Artikel Jurnal
Fusion of HRRP Time‐Frequency Analysis and Multi‐Scale Features for Convolutional Neural Network‐Based Target Recognition
ABSTRACT For radar target recognition in high‐resolution range profiles (HRRP) under low signal‐to‐noise ratio (SNR) conditions, traditional methods typically involve denoising followed by recognition. However, these methods struggle with complex noise. To enhance HRRP information extraction, this…
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Artikel Jurnal
Dynamic RCS Simulation Using Active Frequency Selective Surface
ABSTRACT In the experimental test of the radar system, it is extremely important to build a realistic experimental environment for electromagnetic target testing, which is often realised by the radar target simulation technology. Corner reflectors often simulate radar RCS features by the spatial…
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Artikel Jurnal
Impact of 3D model simplifications on the determination of numerical accuracy of the radar cross‐section in aerial target recognition issues
Abstract Method of moments is one of the most useful approaches for radar cross‐section (RCS) simulation, allowing, that is, the computation of the scattering of real objects from 3D models. However, it is limited by computer memory and computation time. In this paper, the authors explore the…
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Artikel Jurnal
Centralised Fusion of Cooperative Sensors With Limited Field of View for Multiple Resolvable Group Targets Tracking
ABSTRACT The coordinated deployment of multi‐sensor systems significantly enhances group target detection capabilities, yet persistent tracking remains challenging due to inherent limitations in single‐sensor field of view (FoV) coverage. This paper proposes a novel labelled multi‐Bernoulli (LMB)…
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Artikel Jurnal
Enhanced performance of secondary surveillance radar system in dense UAV environments using CDMA techniques
Abstract In future battlefield scenarios, the high density of platforms often leads to multiple responses from existing secondary surveillance radar (SSR) systems, causing collision interference of response signals in the time domain. The frame slotted ALOHA (FSA) algorithm originally used by the…
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Artikel Jurnal
XAI‐Driven Resilient Image Classification in the Presence of Adversarial Perturbations
ABSTRACT Deep learning (DL) architectures, although being employed in widespread applications, often raise concerns about their trustworthiness due to their opacity in their decision‐making processes. Explainable AI (XAI) emerges as a promising solution to mitigate these concerns by providing…