A distributed multiple-radar system has natural advantages in anti-deception jamming. However, most of the anti-jamming methods are proposed in full spatial registration. In practice, the registration error is difficult to eliminate, which will seriously degrade the performance of cooperative anti-jamming. Therefore, it is of great significance to consider the problem of cooperative anti-deception jamming under registration error. In this paper, the cooperative anti-deception jamming method is proposed in a distributed multiple-radar system under registration errors. On the premise of the known registration error, target received signal vectors are estimated from an uncertainty region in each channel by maximum likelihood (ML) algorithm. With the estimated received signal vectors, a target discrimination algorithm is introduced based on the difference in target spatial scattering characteristics, which calculate the correlation coefficient between different target received signal vectors and discriminate a false target with a designed threshold. Furthermore, since the registration error depends on the radar site errors, theoretical derivation for the registration error is given as a function of the transmitter and receiver site errors. Finally, simulation results verify the feasibility of the proposed discrimination method, and its performance due to the influence of the jamming-to-noise ratio (JNR), the registration error, the target size, and the discrimination threshold are considered.
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http://dx.doi.org/10.3390/s22197216 | DOI Listing |
Fluids Barriers CNS
December 2024
Department of Behavioural Neurology and Cognitive Neuroscience, Tohoku University Graduate School of Medicine, 2-1, Seiryo-machi, Aoba-ku, Sendai, 980-8575, Miyagi, Japan.
Background: Disproportionately enlarged subarachnoid space hydrocephalus (DESH) is one of the neuroradiological characteristics of idiopathic normal pressure hydrocephalus (iNPH), which makes statistical analyses of brain images difficult. This study aimed to develop and validate methods of accurate brain segmentation and spatial normalisation in patients with DESH by using the Computational Anatomy Toolbox (CAT12).
Methods: Two hundred ninety-eight iNPH patients with DESH and 25 healthy controls (HCs) who underwent cranial MRI were enrolled in this study.
Front Digit Health
December 2024
Department of Information Management, Nanjing University of Science & Technology, Nanjing, China.
Objective: The COVID-19 pandemic has placed unprecedented strain on healthcare systems, mainly due to the highly variable and challenging to predict patient length of stay (LOS). This study aims to identify the primary factors impacting LOS for patients before and during the COVID-19 pandemic.
Methods: This study collected electronic medical record data from Zhongnan Hospital of Wuhan University.
Pract Radiat Oncol
December 2024
Department of Radiation Oncology, Willis Knighton Cancer Center, 2600 Kings Highway, Shreveport, Louisiana, USA 71103 &, Department of Clinical Research, University of Jamestown, Fargo, ND, USA. Electronic address:
Purpose: Motion management presents a significant challenge in thoracic stereotactic ablative radiotherapy (SABR). Currently, a 5.0 mm standard planning target volume (PTV) margin is widely used to ensure adequate dose to the tumor.
View Article and Find Full Text PDFRadiography (Lond)
December 2024
Newcastle Upon Tyne Hospitals NHS Foundation Trust, Northern Centre for Cancer Care, Newcastle Upon Tyne, United Kingdom; Newcastle University, Translational and Clinical Research Institute, Newcastle Upon Tyne, United Kingdom.
Purpose/objective: MR-only radiotherapy planning exploits the benefits of MRI soft-tissue delineation, whilst negating the registration inaccuracies caused by MRI CT fusion. Fiducial markers have conventionally been used in prostate radiotherapy to reduce on-treatment image matching variability. However, this is an invasive procedure for the patient, and presents technical difficulties in an MR-only pathway as fiducial markers are difficult to visualise on MRI.
View Article and Find Full Text PDFOrthod Craniofac Res
December 2024
Department of Orthodontics, Faculty of Dentistry, Mahidol University, Bangkok, Thailand.
Objectives: To investigate maxillary canine movement accuracy and anchorage during space closure in first premolar extraction cases (maximum anchorage) using In-House Clear Aligners (IHCAs).
Materials And Methods: A randomised controlled trial with a split-mouth design recruited 16 adults in university setting. Each patient was randomly assigned by side for canine retraction using 12 IHCAs to both the experimental palatal power arm (Pa) and non-Pa control (C).
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