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Energy detection is a widely used method of spectrum sensing in cognitive radio and Radio Detection And Ranging (RADAR) systems. This paper is devoted to the analytical evaluation of the performance of an energy detector over Weibull fading…

Information Theory · Computer Science 2015-05-15 Paschalis C. Sofotasios , Mulugeta K. Fikadu , Khuong Ho-Van , Mikko Valkama

In the next generations of cellular communication networks, higher density of base stations and higher frequency bands will be adopted. If being reflected by targets, the communication signal also brings information of the targets, in…

Signal Processing · Electrical Eng. & Systems 2020-11-18 Husheng Li

The problem of imaging extended targets (sources or scatterers) is formulated in the framework of compressed sensing with emphasis on subwavelength resolution. The proposed formulation of the problems of inverse source/scattering is…

Optics · Physics 2009-09-15 Albert C. Fannjiang

In this paper, we investigate full-wave computed radar tomography (CRT) using a rubble-pile asteroid model in which a realistic shape (Itokawa) is coupled with a synthetic material composition and structure model. The aim is to show that…

Earth and Planetary Astrophysics · Physics 2019-09-12 Liisa-Ida Sorsa , Mika Takala , Patrick Bambach , Jakob Deller , Esa Vilenius , Sampsa Pursiainen

Although spatial information of images usually enhance the robustness of the Fuzzy C-Means (FCM) algorithm, it greatly increases the computational costs for image segmentation. To achieve a sound trade-off between the segmentation…

Computer Vision and Pattern Recognition · Computer Science 2020-07-02 Cong Wang , Witold Pedrycz , ZhiWu Li , MengChu Zhou

In this work, an detection strategy based on multiple antennas with beam sweeping is developed to detect UAV's potential transmission in wireless networks. Specifically, suspicious angle range where the UAV may present is divided into…

Information Theory · Computer Science 2019-04-02 Jinsong Hu , Yongpeng Wu , Riqing Chen , Feng Shu , Jiangzhou Wang

When waves propagate through a complex medium, they undergo several scattering events. This phenomenon is detrimental to imaging, as it causes full blurring of the image. Here we describe a method for detecting, localizing and…

Objective-The main purpose of this paper is to construct a distributed clustering algorithm such that each distributed cluster can perform the data accuracy at their respective cluster head node before data aggregation and transmit the data…

Networking and Internet Architecture · Computer Science 2011-01-12 Jyotirmoy Karjee , H. S Jamadagni

A statistical backscatter channel model for indoor clutter is developed for indoor RF sensing applications based on measurements. A narrowband 28 GHz sounder used a quazi-monostatic radar arrangement with an omnidirectional transmit antenna…

We investigate the constant-modulus (CM) waveform design for dual-function radar communication systems in the presence of clutter.To minimize the interference power and enhance the target acquisition performance, we use the…

Signal Processing · Electrical Eng. & Systems 2023-03-01 Wenjun Wu , Bo Tang , Xuyang Wang

Recent research has shown a weak convergence - convergence in distribution - of particle filtering methods under certain assumptions. However, some applications of particle filtering methods, such as radiation source localization problems,…

Signal Processing · Electrical Eng. & Systems 2020-04-21 Jared Cook , Ralph C. Smith , Camila Ramirez , Nageswara S. V. Rao

The deep neural networks (DNNs) have freed the synthetic aperture radar automatic target recognition (SAR ATR) from expertise-based feature designing and demonstrated superiority over conventional solutions. There has been shown the unique…

Computer Vision and Pattern Recognition · Computer Science 2023-04-05 Bowen Peng , Jianyue Xie , Bo Peng , Li Liu

Estimating the disturbance or clutter covariance is a centrally important problem in radar space time adaptive processing (STAP). The disturbance covariance matrix should be inferred from training sample observations in practice. Large…

Applications · Statistics 2016-02-22 Bosung Kang

Garbage and waste disposal is one of the biggest challenges currently faced by mankind. Proper waste disposal and recycling is a must in any sustainable community, and in many coastal areas there is significant water pollution in the form…

Computer Vision and Pattern Recognition · Computer Science 2019-05-15 Matias Valdenegro-Toro

Dual functional radar and communication (DFRC) systems are a viable approach to extend the services of future communication systems. Most studies designing DFRC systems assume that the target direction is known. In our paper, we address a…

Signal Processing · Electrical Eng. & Systems 2024-12-11 Mateen Ashraf , Anna Gaydamaka , Dmitri Moltchanov , John Thompson , Mikko Valkama , Bo Tan

The detection and prevention of illegal fishing is critical to maintaining a healthy and functional ecosystem. Recent research on ship detection in satellite imagery has focused exclusively on performance improvements, disregarding…

Computer Vision and Pattern Recognition · Computer Science 2022-12-13 Arthur Van Meerbeeck , Jordy Van Landeghem , Ruben Cartuyvels , Marie-Francine Moens

This letter deals with the problem of clutter edge detection and localization in training data. To this end, the problem is formulated as a binary hypothesis test assuming that the ranks of the clutter covariance matrix are known, and…

Signal Processing · Electrical Eng. & Systems 2022-03-14 Tianqi Wang , Da Xu , Chengpeng Hao , Pia Addabbo , Danilo Orlando

Recent success in explaining several properties of the dusty torus around the central engine of active galactic nuclei has been gathered with the assumption of clumpiness. The properties of such clumpy dusty tori can be inferred by…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-11 A. Asensio Ramos , C. Ramos Almeida

This work considers the problem of designing an attack strategy on remote state estimation under the condition of strict stealthiness and $\epsilon$-stealthiness of the attack. An attacker is assumed to be able to launch a linear attack to…

Systems and Control · Electrical Eng. & Systems 2020-06-09 Hanxiao Liu , Yuqing Ni , Lihua Xie , Karl Henrik Johansson

Huge imbalance of different scenes' sample numbers seriously reduces Synthetic Aperture Radar (SAR) ship detection accuracy. Thus, to solve this problem, this letter proposes a Balance Scene Learning Mechanism (BSLM) for offshore and…

Computer Vision and Pattern Recognition · Computer Science 2020-09-22 Tianwen Zhang , Xiaoling Zhang , Jun Shi , Shunjun Wei , Jianguo Wang , Jianwei Li , Hao Su , Yue Zhou