期刊信息

IET Radar, Sonar & Navigation

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影响因子:
1.7
出版商:
IET
ISSN:
1751-8784
浏览:
26114
关注:
1

征稿

IET Radar, Sonar & Navigation is an academic journal published by IET. (ISSN 1751-8784, impact factor 1.7).

Aims and Scope IET Radar, Sonar & Navigation covers the theory and practice of systems and signals for radar, sonar, radiolocation, navigation and surveillance purposes, in aerospace and terrestrial applications. Examples include advances in: Waveform design Clutter and detection Electronic warfare Adaptive array and superresolution methods Tracking algorithms Synthetic aperture Target recognition techniques
由 Dou Sun 最后更新于

Special Issues

Special Issue on Advanced Target Detection, Tracking, and Imaging for Radar and Sonar Systems 截稿日期: 2026-10-31 Radar and sonar systems are critical for situational awareness in applications ranging from autonomous navigation and maritime surveillance to remote sensing. While advancements in signal processing have continuously improved their capabilities, significant challenges remain in reliably detecting weak targets, maintaining accurate tracks in cluttered and multi-target environments, and forming high-resolution images under adverse conditions. This Special Issue invites contributions on innovative signal processing techniques that push the boundaries of target detection, tracking, and imaging for radar and sonar systems. We seek high-quality research that addresses these intertwined challenges through novel model-based algorithms and data-driven approaches, including artificial intelligence and deep learning. The issue aims to showcase synergistic advancements that enhance the performance and robustness of next-generation sensing systems. Topics of interest for this call for papers include but are not restricted to: Advanced Detection Techniques: CFAR detectors, knowledge-aided detection, deep learning-based detectors. Target Tracking Algorithms: Multi-hypothesis tracking (MHT), random finite set filters, track-before-detect (TBD). High-Resolution Imaging: SAR/SAS, ISAR, tomographic imaging. Artificial Intelligence & Machine Learning: AI for sensor data processing, deep learning for target recognition. Multi-Sensor Systems: Data fusion, distributed radar/sonar networks. Robust Processing: Techniques for clutter, reverberation, and low SNR conditions. Waveform Diversity & MIMO: Waveform design for joint functionalities. Guest Editors: Dr. Jiahua Zhu (Lead) National University of Defense Technology, China Dr. Zhuang Xie National University of Defense Technology, China Dr. Xuebo Zhang Northwest Normal University, China Dr. Jianguo Liu Imperial College London, United Kingdom Dr. Ferdinando Nunziata Sapienza University of Rome, Italy Keywords: Radar; sensor fusion; sonar. https://ietresearch.onlinelibrary.wiley.com/hub/journal/17518792/homepage/call-for-papers/si-2026-000061
由 Dou Sun 最后更新于

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