Bin Zhao

WiC-RadGen: Dual-Band Wi-Fi Conditioned Radar Point Cloud Generation via Discrete VAEs and Masked Autoregressive Transformers

Wenbo Ding, Yi Yang, Yang Li, Dongsheng Wang et autres

Wireless sensing technologies are crucial for a wide range of real-world applications, from indoor navigation and smart home automation to autonomous vehicle perception and industrial monitoring. While dedicated mmWave radar systems offer high-precision spatial measurements, they encounter deployment challenges due to their …

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Conditional Maximum Likelihood Estimation and Cramér–Rao Lower Bound for High-Speed Multitarget Motion Parameter Estimation in Homogeneous Cluttered Environments

Xiao Xu, Yang Li, Chunmao Ye, Xuan Chen et autres

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RPIT: Multiscatterer Coherent Integration for Range-Spread High-Speed Maneuvering Targets via Range-Phase-Invariant Transform

Xiao Xu, Yang Li, Chunmao Yeh, Bin Zhao et autres

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Radar-Based Vital Signal Extraction via Morphological Component Analysis

Hongzhi Li, Ayukocha Gandhi Bessemntoh Ayuknso, Na Yang, Minghan Zhi et autres

Noncontact monitoring of cardiopulmonary activity using radar has been a long-standing challenge, especially in dynamic environments where motion artifacts and environmental clutter significantly degrade signal quality. This article introduces a novel signal processing framework for accurate estimation of respiration rate (RR) and …

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RM-GMSD and FRM-GMSD: Subspace-Based Detection of High-Speed Range-Spread Targets in Cluttered Environments

Xiao Xu, Yang Li, Chunmao Yeh, Xuan Chen et autres

This paper addresses high-speed range-spread target detection in cluttered environments, considering both range migration (RM) and range-spread (RS) effects, as well as the disturbance of clutter. The target is modeled as multiple scatters with identical velocities. We first propose the Generalized Matched …

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Robust Neural Network Training for Marine Radar Target Detection Using Noisy AIS Labels

Yunrong Zhu, Yang Li, Bin Zhao, Yibo Zhang et autres

For the neural network (NN) detector in marine radar, its superior performance relies heavily on correctly annotated large datasets bringing expensive cost. The Automatic Identification System (AIS) can be used to automatically construct datasets by obtaining the location of other ships. However, …

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Multiscale Information-Driven Radar Resource Algorithm-Level Coscheduling for Joint Maneuvering Target Tracking and Antinoise Suppression Jamming

Yibo Zhang, Yang Li, Bin Zhao, Chunmao Yeh et autres

To enhance maneuvering target tracking and mitigate noise suppression interference under low radar interception probability, by exploiting the inter-task reusable information and coupling relationship, the proposed cognitive radar multidimensional resource management (CRMRM) strategy collaboratively optimizes multi-dimensional signal domains to improve the linked …

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Global Fused Multiresolution Semantic Interactive Network for Low-Contrast Infrared Iceberg Detection

Xinyu Ma, Yang Li, Fanglin Chen, Fuhai Guo et autres

Ice floes and icebergs pose a deadly threat to ships. Ensuring safe navigation by timely detecting these hazards through shipborne detection systems represents a potent solution. Infrared iceberg detection stands out due to its exceptional visual capability and immunity to light and …

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Motion Parameter Estimation and Detection for High-Speed Weak Target in Clutter Environment

Xiao Xu, Yang Li, Chunmao Yeh, Xuan Chen et autres

In this article, we investigate parameter estimation and detection for high-speed weak targets in cluttered environments, considering both the range migration (RM) of the target and the disturbance caused by clutter. To effectively capture the echo characteristics of the target, a “parameter …

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Wi-CCFAR: Wi-Fi CSI-Based Controllable False Alarm Rate Human Presence Detector With Normalizing Flow

Wenbo Ding, Yang Li, Dongsheng Wang, Bin Zhao et autres

In human presence detection for Internet of Things (IoT) applications, Wi-Fi channel state information (CSI)-based methods offer significant advantages in cost-effectiveness and privacy preservation. Existing approaches typically rely on feature engineering or deep learning techniques to process CSI data. However, these methods …

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Adaptive Multiscale Enhanced Interaction Network for Infrared Iceberg Detection

Xinyu Ma, Yang Li, Fanglin Chen, Fuhai Guo et autres

Icebergs threaten the navigation safety of ships in the Arctic, small icebergs are difficult to detect in harsh sea conditions. Timely detection of these targets is crucial for aiding ships in navigational decisions. Infrared detection technology is an effective solution for detecting …

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FreqTime-HAR: Self-supervised Multimodal Fusion via Transformer for Robust Human Activity Recognition

Xiang Wu, Bin Zhao

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