Efficient algorithms for the frame packing and slot allocation of FlexRay V3.0

Download
2017
Çakmak, Cumhur
Recently, near-field ultra-wideband radar imaging algorithms have an important place in short range imaging applications by providing high resolution in both range and cross-range. In this study, the near-field ultra-wideband radar imaging algorithms in the literature such as Holographic Image Reconstruction Algorithm, Range Migration Algorithm, MIMO Based Range Migration Algorithm and MIMO Based Kirchhoff Migration Algorithm have been implemented using MATLAB. The algorithms are applied to modeled transmitter/receiver antenna arrays and discrete scatterers are used as targets. The algorithms are implemented in the frequency domain. Images obtained by different algorithms are given and compared to each other to assess the performance of the applied algorithms. Important parameters of each algorithm are specified and their effects on the result are investigated. The algorithms are also implemented in millimeter-wave band which is safe for humans (non-ionizing) and allows detection of objects concealed under clothing. 

Suggestions

Analysis of near-field ultra-wideband radar imaging algorithms
Arabacı, Ahmet; Koç, Seyit Sencer; Department of Electrical and Electronics Engineering (2017)
Recently, near-field ultra-wideband radar imaging algorithms have an important place in short range imaging applications by providing high resolution in both range and cross-range. In this study, the near-field ultra-wideband radar imaging algorithms in the literature such as Holographic Image Reconstruction Algorithm, Range Migration Algorithm, MIMO Based Range Migration Algorithm and MIMO Based Kirchhoff Migration Algorithm have been implemented using MATLAB. The algorithms are applied to modeled transmit...
Efficient computation of 2D point-spread functions for diffractive lenses
Ayazgok, Suleyman; Öktem, Sevinç Figen (The Optical Society, 2020-01-10)
Diffractive lenses, such as Fresnel zone plates, photon sieves, and their modified versions, have been of significant recent interest in high-resolution imaging applications. As the advent of diffractive lens systems with different configurations expands, the fast and accurate simulation of these systems becomes crucial for both the design and image reconstruction tasks. Here we present a fast and accurate method for computing the 2D point-spread function (PSF) of an arbitrary diffractive lens. The method i...
Surveillance with wireless sensor networks in obstruction: Breach paths as watershed contours
Onur, Ertan; Delic, Hakan; Akarun, Lale (Elsevier BV, 2010-02-01)
For surveillance applications of wireless sensor networks, analysis of sensing coverage and quality of sensing is crucial. For rough terrains where obstacles block the sensing capability, region-based approaches must be employed to determine the sensing quality. In this paper, we present a method to determine the breach paths and the deployment quality defined as the minimum of the maximum detection probabilities on the breach paths in the presence of obstacles. We propose the utilization of watershed segme...
Deep convolutional neural networks for airport detection in remote sensing images
Budak, Umit; Sengur, Abdulkadir; Halıcı, Uğur (2018-05-05)
This study investigated the use of deep convolutional neural networks (CNNs) in providing a solution for the problem of airport detection in remote sensing images (RSIs). In recent years, Deep CNNs have gained much attention with numerous applications having been undertaken in the area of computer vision. Researchers generally approach airport detection as a pattern recognition problem, in which first various distinctive features are extracted, and then a classifier is adopted to detect airports. CNNs not o...
Fuzzy spatial data cube construction and its use in association rule mining
Işık, Narin; Yazıcı, Adnan; Department of Computer Engineering (2005)
The popularity of spatial databases increases since the amount of the spatial data that need to be handled has increased by the use of digital maps, images from satellites, video cameras, medical equipment, sensor networks, etc. Spatial data are difficult to examine and extract interesting knowledge; hence, applications that assist decision-making about spatial data like weather forecasting, traffic supervision, mobile communication, etc. have been introduced. In this thesis, more natural and precise knowle...
Citation Formats
C. Çakmak, “Efficient algorithms for the frame packing and slot allocation of FlexRay V3.0,” M.S. - Master of Science, Middle East Technical University, 2017.