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This paper introduces a novel sequential approach to user movement analysis and tracking for indoor positioning systems. The algorithm utilizes stored reference and measured received signal strength indication (RSSI) data to determine the most likely movement paths represented as sequences of rectangular zones. It is demonstrated that the application of the proposed approach results in an improvement...
Three approaches are applied to reconstruction of an object image from radar data collected in an Inverse-SAR (moving object, fixed radar location) geometry. These approaches attempt to reconstruct the object motion from the radar data alone. While all three approaches work with simulated data, application to this real-world data did not produce a recognizable image. Presented is a short description...
We discuss the problem of poor initial estimation of altitude of distant and low located objects in PCL-PET data fusion. We focus here on tracking algorithm showing how one can make the convergence of the estimate to the real value faster. The main result is that on having replaced extended Kalman filter with unscented Kalman filter, we are able to choose from scenarios with various initial conditions...
One of the main application of Synthetic Aperture Radar (SAR) data is developing the monitoring system for various applications like land cover and land use dynamics, vegetation mapping, canopy characterization and natural hazards by discriminating the change areas between two different dates images. In this paper, KLT (Kanade-Lucas-Tomasi) tracker has been applied on two different dated (i.e. April,...
Pedestrian tracking is becoming increasingly important for intelligent vehicles to improve the safety on road. Vision based pedestrian tracking with moving cameras faces notorious challenges. The classical background subtraction technique in surveillance applications is no longer applicable for Advanced Driver Assistance Systems (ADASs). In this paper, we propose a vision based pedestrian tracking...
A novel method for vehicle detection and tracking, which is capable to correctly detect and track vehicle headlights in rural and urban areas is presented. The detection procedure does not require image thresholding, or other preprocessing, which is commonly used in other methods, thus offering robustness and performance. A tracking method based on Joint Probability Data Association Filter (JPDAF)...
For autonomous vehicle and ADAS(Advanced Driver Assistance System), it is essential to detect and to track objects within a certain area in realtime. This paper presents the 2D tracker that fuses with four 2D LiDARs and one RADAR. It independently detects objects according to the type of sensors and represents these in the same space. It continuously associates measurements of the same object and...
The high-frequency (HF) surface wave radar system located at the coast is well-known as a tool for synoptic on-line mapping of sea surface current fields and the spatial distribution of the sea waves. Especially for oceanographic applications, low power HF radar systems have been developed, which use surface wave propagation along the salty sea surface. Such HF radar system brings area surveillance...
X-band measurements of flying sea birds have been carried out in order to investigate the potential of extracting features for target recognition from micro-Doppler signatures. More specifically, the contribution from wings to the bird's total RCS is examined. This is important as these signatures are believed to be highly dependent on aspect angle and polarization. The underlying question is if the...
This paper investigates the problem of incorporating Doppler measurements to improve multi-target tracking performance. The clutter density in both spatial domain and Doppler direction is assumed to be unknown and non-homogeneous. Instead of modeling the clutter density as the product of the clutter spatial density and the clutter Doppler probability density function (pdf), this paper introduces a...
MIMO radar can provide enhanced spatial resolution and achieve better target detection performance. Hence the parameter identifiability of the system can be significantly improved. In this paper, the issue of direction of arrival (DOA) estimation in multiple-input multiple-output (MIMO) radar is discussed, and several algorithms for DOA tracking based on monostatic MIMO radar in impulsive noise background...
Dim objects tracking, like asteroids or satellites, require high performance algorithm. Track-Before-Detect (TBD) algorithms could be applied for such scenario, but the computation power is very demanding. Giant amount of trajectories that could be processed is the main problem. The application of GPGPU allows the computation using optimized Downsampled Spatio-Temporal TBD (ST-TBD) algorithm for small...
In this paper a new method is introduced for evaluating effect of sweep noisy barrage jammer on tracking radars. In this method, jammer interfering energy that injected in radar receiver bandwidth is calculated during jammer scan period, then according to the minimum signal to jammer power ratio that is required for receiver proper functioning (kJα), ratio of receiver proper functioning time to the...
This paper focuses on the study and analysis of a radar network for the surveillance of the airport terminal area. This work is studied in the framework of the European project SOS, aimed to increase the security of the airport and proposes innovative solutions to guarantee a continuous passenger screening. The active radar networks described in this paper will be designed taking into account different...
High-Frequency (HF) radars are operated in the 3–30 MHz frequency band. For oceanographic applications low transmit power HF radar systems have been developed, which use surface electromagnetic wave propagation along the salty ocean surface. This paper presents a new approach to use Multiple Input Multiple Output (MIMO) technique for compact HF ocean radar deployments and positive economic benefits...
Vulnerable road users, e.g. pedestrians, have a high impact on fatal accident numbers. To reduce these statistics, car manufactures are intensively developing suitable safety systems. Hereby, fast and reliable environment recognition is a major challenge. In this paper we describe a tracking approach that is only based on a 24 GHz radar sensor. While common radar signal processing loses much information,...
In this paper, we derive the discrete temporal evolution equation of the pseudo state vector, defined by the converted Doppler (the productive of target true range and range rate) and its first derivative, for the constant turn (CT) motion. The resulted linear state equation allows using of linear Kalman filter to extract information from the pseudo measurements (the productive of range and Doppler...
Aiming at data correlation and estimation problems in particle filtering multi-targets tracking, classical particle filtering is extended into multi-targets state estimation in the given several observation process. Gibbs sampling is regarded as the methods of estimation and allocation correlation vector. Target state vector and association probability was jointly estimated without list, trim, threshold...
Particle filter has been proven to be a very effective method for identifying targets in non-linear and non-Gaussian environment. However, particle filter is computationally intensive. So, particle filter has been implemented on FPGA by exploiting parallel and pipelining approaches to reduce the computational burden. Our optimized FPGA implementation improves up to twelve times speed up. Also more...
Radar servo tracking system is a position and velocity servo system which implements coordinated control of the position and velocity in biaxial motion (pitching and yawing). The tacking errors on both of the pitching axis and the yawing axis, and the coupling error between the two axes make the coordinated control become more complex. The error analysis of coordinated control in biaxial motion of...
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