The Experts below are selected from a list of 64125 Experts worldwide ranked by ideXlab platform
Mete Severcan - One of the best experts on this subject based on the ideXlab platform.
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Coverage area analysis in Space-Time Adaptive processing Radar Systems
2012 20th Signal Processing and Communications Applications Conference (SIU), 2012Co-Authors: Halil Uysal, Mete SevercanAbstract:Space-Time Adaptive Processing (STAP) has been widely used in spaceborne and airborne Radar platforms in order to track ground moving targets. In this study, a generic STAP Radar model, wideband jammer signal model and ground clutter model are implemented in simulation environment. The implemented models are used to demonstrate the coverage area analysis of the respective Radar Systems which employs space-time adaptive processing.
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SIU - Coverage area analysis in Space-Time Adaptive processing Radar Systems
2012 20th Signal Processing and Communications Applications Conference (SIU), 2012Co-Authors: Halil Uysal, Mete SevercanAbstract:Space-Time Adaptive Processing (STAP) has been widely used in spaceborne and airborne Radar platforms in order to track ground moving targets. In this study, a generic STAP Radar model, wideband jammer signal model and ground clutter model are implemented in simulation environment. The implemented models are used to demonstrate the coverage area analysis of the respective Radar Systems which employs space-time adaptive processing
Jenshan Lin - One of the best experts on this subject based on the ideXlab platform.
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A Review on Recent Progress of Portable Short-Range Noncontact Microwave Radar Systems
IEEE Transactions on Microwave Theory and Techniques, 2017Co-Authors: Changzhi Li, Tien-yu Huang, Tenglong Fan, Lixin Ran, Zhengyu Peng, José-maría Muñoz-ferreras, Roberto Gómez-garcía, Tzyy-sheng Horng, Fu-kang Wang, Jenshan LinAbstract:This paper reviews recent progress of portable short-range noncontact microwave Radar Systems for motion detection, positioning, and imaging applications. With the continuous advancements of modern semiconductor technologies and embedded computing, many functionalities that could only be achieved by bulky Radar Systems in the past are now integrated into portable devices with integrated circuit chips and printed circuits boards. These portable solutions are able to provide high motion detection sensitivity, excellent signal-to-noise ratio, and satisfactory range detection capability. Assisted by on-board signal processing algorithms, they can play important roles in various areas, such as health and elderly care, veterinary monitoring, human-computer interaction, structural monitoring, indoor tracking, and wind engineering. This paper reviews some system architectures and practical implementations for typical wireless sensing applications. It also discusses potential future developments for the next-generation portable smart Radar Systems.
Halil Uysal - One of the best experts on this subject based on the ideXlab platform.
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Coverage area analysis in Space-Time Adaptive processing Radar Systems
2012 20th Signal Processing and Communications Applications Conference (SIU), 2012Co-Authors: Halil Uysal, Mete SevercanAbstract:Space-Time Adaptive Processing (STAP) has been widely used in spaceborne and airborne Radar platforms in order to track ground moving targets. In this study, a generic STAP Radar model, wideband jammer signal model and ground clutter model are implemented in simulation environment. The implemented models are used to demonstrate the coverage area analysis of the respective Radar Systems which employs space-time adaptive processing.
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SIU - Coverage area analysis in Space-Time Adaptive processing Radar Systems
2012 20th Signal Processing and Communications Applications Conference (SIU), 2012Co-Authors: Halil Uysal, Mete SevercanAbstract:Space-Time Adaptive Processing (STAP) has been widely used in spaceborne and airborne Radar platforms in order to track ground moving targets. In this study, a generic STAP Radar model, wideband jammer signal model and ground clutter model are implemented in simulation environment. The implemented models are used to demonstrate the coverage area analysis of the respective Radar Systems which employs space-time adaptive processing
John D. Mathews - One of the best experts on this subject based on the ideXlab platform.
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Effects of the Equatorial Electrojet on FM-Based Passive Radar Systems
IEEE Transactions on Geoscience and Remote Sensing, 2017Co-Authors: Burak Tuysuz, Julio V. Urbina, John D. MathewsAbstract:Passive Radar Systems operate by employing cooperative or noncooperative radio signals in the environment in order to sense remote targets. This particular feature of passive Radar Systems provides unique opportunities to expand the coverage map of conventional Radars. In using passive Radar Systems, any undesirable obstacle between the transmitted signal and the path of the desirable target can cause obliteration on the source signal and destroy its key correlative properties. The equatorial electrojet (EEJ) can have unfavorable effects on the operation of the prospective passive Radar Systems, which can conceivably employ very high frequency frequency-modulated (FM) radio signals around the magnetic equator. The EEJ is a strong flow of current in the upper atmosphere around 100 km of altitude over the magnetic equator. Because of the density irregularities within, the ionospheric current is a geophysical obstacle for the deployment of passive Radar Systems near those latitudes. In this paper, we assess the effects of the EEJ on the operation of FM-based passive Radar Systems. First, we simulate the EEJ as a communication channel based on its physical properties by using Gaussian random processes. We simulate the propagation of FM signals through this communication channel and determine the changes in their correlative properties. Finally, we present the experimental data that were collected near the magnetic equator that demonstrates the malfunction of the FM-based passive Radar Systems due to the EEJ. These observations and numerical results show that careful considerations must be taken when implementing FM-based passive Radar Systems at equatorial latitudes.
Jochen Horstmann - One of the best experts on this subject based on the ideXlab platform.
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knowledge based multitarget ship tracking for hf surface wave Radar Systems
IEEE Transactions on Geoscience and Remote Sensing, 2015Co-Authors: Gemine Vivone, Paolo Braca, Jochen HorstmannAbstract:These last decades spawned a great interest toward low-power high-frequency (HF) surface-wave (SW) Radars for ocean remote sensing. By virtue of their over-the-horizon coverage capability and continuous-time mode of operation, these sensors are also effective long-range early warning tools in maritime situational awareness applications providing an additional source of information for target detection and tracking. Unfortunately, they also exhibit many shortcomings that need to be taken into account, and proper algorithms need to be exploited to overcome their limitations. In this paper, we develop a knowledge-based (KB) multitarget tracking methodology that takes advantage of a priori information on the ship traffic. This a priori information is given by the ship sea lanes and by their related motion models, which together constitute the basic building blocks of a variable structure interactive multiple model procedure. False alarms and missed detections are dealt with using a joint probabilistic data association rule and nonlinearities are handled by means of the unscented Kalman filter. The KB-tracking procedure is validated using real data acquired during an HF-Radar experiment in the Ligurian Sea (Mediterranean Sea). Two HFSW Radar Systems were operated to develop and test target detection and tracking algorithms. The overall performance is defined in terms of time-on-target, false-alarm rate (FAR), track fragmentation (TF), and accuracy. A full statistical characterization is provided using one month of data. A significant improvement of the KB-tracking procedure, in terms of system performance, is demonstrated in comparison with a standard joint probabilistic data association tracker recently proposed in the literature to track HFSW Radar data. The main improvement of our approach is the better capability of following targets without increasing the FAR. This increment is much more evident in the region of low FAR, where it can be over the 30% for both the HFSW Radar Systems. The KB-tracking exhibits on average a reduction of the TF of about the 20% and the 13% of the utilized HFSW-Radar Systems.
