One of the most popular radar applications in radar is target detection. While the range resolution of the photonic radar is far better than the conventional radar, so similarly the target detection accuracy is also high in the photonics radar compared to conventional radar. The use of several a...
Deep MIMO radar target detector in Gaussian clutter We focus on the target detection problem of the multiple-input multiple-output (MIMO) radar in clutter. Most of the existing MIMO radar detection works rel... D Luo,Z Ye,B Si,... - 《Iet Radar Sonar & Navigation》 被引量: 0发表: ...
In recent years, the performances of radar resolution, coverage, and detection accuracy have been significantly improved through the use of ultra-wideband, synthetic aperture and digital signal processing technologies. High-resolution radars (HRRs) utilize wideband signals and synthetic apertures to enhance...
Learning: Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Traditional: Multisensor data fusion: A review of the state-of-the-art Information: Information Decomposition of Target Effects from Multi-Source Interactions: Perspectives on Pr...
T. Detection of MMW radar target based on Doppler characteristics and deep learning. In 2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID, 266–271, https://doi.org/10.1109/AIID51893.2021.9456497 (2021). Chen, V. C. Joint time-frequency analysis for ...
Learning: Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Traditional: Multisensor data fusion: A review of the state-of-the-art Information: Information Decomposition of Target Effects from Multi-Source Interactions: Perspectives on Pr...
Deep Neural Network (DNN)-based Synthetic Aperture Radar (SAR) automatic target recognition (ATR) methods have been shown to be vulnerable, particularly in low-data scenarios, also known as generalized few-shot learning situations. This vulnerability significantly restricts their real-world applications...
False-Alarm-Controllable Radar Detection for Marine Target Based on Multi Features Fusion via CNNs 2021, IEEE Sensors Journal A Cognitive Radio Spectrum Sensing Method for an OFDM Signal Based on Deep Learning and Cycle Spectrum 2020, International Journal of Digital Multimedia Broadcasting Machine Lear...
Learning: Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Traditional: Multisensor data fusion: A review of the state-of-the-art Information: Information Decomposition of Target Effects from Multi-Source Interactions: Perspectives on Pr...
Narrowband radar is widely used in the field of air defense guidance due to its advantages of low cost and long operating range. With the development of high-speed mobile platforms, traditional target recognition methods based on feature modeling of long