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In this work, we consider a two-channel multiple-input multiple-output (MIMO) passive detection problem, in which there is a surveillance array and a reference array. The reference array is known to carry a linear combination of broadband noise and a subspace signal of known dimension but unknown basis. The question is whether the surveillance channel carries a linear combination of broadband noise...
In this paper, the decision-level data fusion techniques are extended to the multiuser detection (MUD) field. Then a novel MUD algorithm that is the combine application decision-level fusion criterion (CA-DFC) based MUD algorithm is proposed for DS-UWB communication systems. In CA-DFC based method, the combine detectors can make decisions among the preliminary decisions from sub-optimal detectors...
Several methods are available in computer vision to recognize objects. Mostly, these methods consist of two well-separated parts: first the region of interest has to be recognized on the input image. After this, the visual representation of the object has to be compared with already-known samples: there are several ways, mostly based on the shape, color and pattern, or corner- or keypoints of the...
The research is devoted to the reduction of multiple access interference (MAI) in chaos-based asynchronous direct sequence code division multiple access (DS-CDMA) communication systems by use of spreading sequences which are selected from a large set of generated chaotic sequences. For the generation of binary chaotic spreading sequences different 1-dimensional maps are examined. As selection criteria...
Object detection and tracking is an important research topic in computer vision with numerous practical applications. Although great progress has been made both in object detection and tracking, it is still a big challenge in automatic real-time applications. In this paper, a fast and robust approach is proposed by integrating an adaptive object detection technique within a kernelized correlation...
The detection and matching of point features play an important role in most of the computer vision algorithms, such as; for 3-D reconstruction and robotics navigation, localization and mapping. Over the last years various detectors and descriptors have been proposed and successfully applied to the different applications. However, the developed detectors are based on computationally intensive algorithms,...
Inspired by the success of multi-carrier waveforms such as Orthogonal Frequency Division Multiplexing (OFDM) in radio communication, multi-carrier based radar waveform designs have gained strong interest recently. Reasons for this include their resistance to multipath fading, ability to overcome the limitations of a congested frequency spectrum, ability to exploit frequency diversity gains, and potential...
The channel estimation is one of the essential components to make the long distance transmission of continuous variable quantum key distribution (CV-QKD). In this paper we provide the Cramer-Rao lower bound (CRLB) of the channel estimator, which is the minimum variance that an estimator can achieve. We compare CRLB with the channel transmission parameter estimator proposed in [15] for long distance...
SIMPLE (Searching Images with MPEG-7 (& MPEG-7-like) Powered Localized dEscriptors) is a model that proposes the reuse of well-established global descriptors by localizing their description mechanism on image patches located by local features' detectors. Having displayed impressive retrieval results on two different databases, in this paper we extend the family by replacing the originally picked...
Location-aware mobile sensors have fundamentally changed the ways radiation levels are detected and tracked. These changes have raised many exciting research questions related to nuclear forensics. This paper investigates the relationship between a mobile sensors' velocity and radiation counts. The study compares the correlations of the sensors' velocity and measurment radiation counts with a source...
FARCOS (Femtoscope ARray for Correlation and Spectroscopy) is a novel modular detection system featuring high angular and energy resolution. It aims at reconstructing the particle's momentum at high precision and performing correlation measurements of LCPs and of LCPs and IMFs. The final system will be composed of 20 telescopes and the first prototypes will be ready to take data starting from 2017...
Recently, in the DGFRS related experiments the discoveries of new superheavy elements Z=114-118 were successfully performed. As concerns to a background radical suppression in those experiments it was namely “active correlations” method which was applied to this goal. Note, that application of DSSSD detector allows one to apply this method more effectively, although with some difficulties due to neighbor...
A method is shown to estimate the position of a (single) radiation source fusing the data from a sodium iodide detector and a gyroscope while panning the detector. Based on geometry considerations, the search motion of a detector is modelled as angular panning and waving motions. Correlation of the sensor data stream from the an gyroscopical accelerometer with the count rate event data of the detector...
Cognitive radio is one of the promising techniques that has been considered as a key solution addressing the spectrum scarcity challenge. It relies on three basic functions among which spectrum sensing is the most critical. In this paper, we study the test statistic of a recently proposed spectrum sensing algorithm, which is the symmetry property of cyclic autocorrelation function (SP-CAF) detector...
A new collaborative detection method of TDOA(Time Difference of Arrival) and DOA(Direction of arrival) has been proposed for weak signals. The fuzzy evidence theory is used to fuse the peaks of TDOA correlation and the spatial spectrum of MUSIC(Multiple Signal Classification).In the paper, the TODA/DOA collaborative detector is designed, the basic probability assignment fuction(mass fuction or BPA...
The feasibility of feature-based co-registration of synthetic aperture sonar images and other speckled imagery relies on finding a sufficient number of feature matches with sub-pixel localization accuracy. This paper considers the effect of speckle decorrelation on feature matching performance, quantifying these trends by means of simulating correlated pairs of speckled images. Firstly, using a perfectly...
The precise and very fast contactless measurement of object surfaces and edges with sub-micrometer resolution plays an important role in many applications nowadays. Optical high-precision measuring devices are used for that purpose. The use of narrowband point light sources for exposing an object generates a diffraction pattern, which can be seen by a sensor. To achieve a much higher resolution than...
Reliable spectrum sensing can be provided with the determination of the presence of licensed or primary user (PU), which is highly necessary for ignoring interruption from secondary bodies or users (SU). Spectrum sensing allocates temporary access of the unused spectral resources of primary (licensed) owners to the secondary (unlicensed) users. As the Cognitive radio environment considers some level...
Algorithms based on signal correlation have low computational complexity and require little knowledge on primary signals or noise signals. However, their detection performance becomes relatively terrible in low signal-to-noise ratio (SNR) regime with weak signal correlation, which happens to be quite common in practical systems. In this paper, a weighted blind spectrum sensing algorithm based on signal...
Tone mapping operators (TMO) have recently raised interest for their capability to handle illumination changes. However, these TMOs are optimized with respect to perception rather than image analysis tasks like key point detection. Moreover, no work has been done to analyze the factors affecting the optimization of TMOs for such tasks. In this paper, we investigate the influence of two factors-Correlation...
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