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In this study, the problem of target detection in the presence of interference using a uniform linear array is considered. The proposed iterative detector is derived based on the generalized likelihood ratio tests (GLRT) principle, assuming that the direction, the complex amplitude and the power of the interfering sources and the received noise variance are all unknown. In the proposed GLR-based detector,...
This paper mainly deals with target detection under heavy clutters in through-the-wall-radar imaging, and based on random sparse array, proposes an approach of multi-channel target cooperative detection with modified N-K detector applied to multiple single-channel images.
Aiming at that the echo signal lies on the target characteristic in target detection of MIMO radar, namely the RCS of target determines the echo intensity, MIMO radar adaptive detector is based on the GLRT MIMO radar. It samplings in the radar receiver, makes the test be related to the SNR and sample size, and overcomes that the amplitude of echo effect detector's performance. then The better detector...
In this paper, we present a computationally efficient and robust lane detection algorithm based on Hough transform. The proposed method first extracts lane markings by applying 1D ridge detector to each row of an image. Given the extracted ridge points, the lane is then detected by applying Hough transform. Unlike the conventional methods, we consider only small set of line candidates which pass through...
The majority of current engineered approaches to calculating self-motion from visual information generally relies on object identification and/or correlation of image sections between successive frames. Such calculations are computationally expensive, require high-frame rate cameras for smooth motion detection and real-time digital implementation requires powerful processors. Alternatively, flies...
Linear and planar arrays have been demonstrated to be effective in interferometric imaging and sensing of one-dimensional and two-dimensional objects. A planar spiral array was used for sensing sources or objects located on a plane parallel to the array plane. This paper shows that by using a three-dimensional array, it is possible to detect differences in distances and thus detect three dimensional...
Spatio-temporal interest region detectors can be used in the analysis of video to determine sparse, informative regions as candidates for feature extraction. In this paper we compare existing detectors and introduce the new FAST-3D detector, loosely based on the FAST spatial interest region detector. We compare the invariance of detectors to rotation, scale and compression by measuring the similarity...
Laser radar has enjoyed significant advances over the past decade. Novel sensor topologies, compact laser illuminators, and advanced signal processing have enabled the construction of low power, portable 2-D and 3-D laser vision systems. The applications of such systems range from surveillance, targeting, weapons guidance, and remote scene measurement, to target identification and atmospheric characterization...
We describe an efficient design for scan-window based object detectors using a general purpose graphics hardware computing (GPGPU) framework. While the design is particularly applied to built a pedestrian detector that uses histogram of oriented gradient (HOG) features and the support vector machine (SVM) classifiers, the methodology we use is generic and can be applied to other objects, using different...
In heterogeneous environments, due to the lack of the independently and identically distributed (IID) samples, the performance of traditional STAP is degraded severely. The maximum likelihood amplitude and phase estimation of a sinusoid (APES) algorithm can operate directly on data of range cell-under-test. However, this algorithm is based on space domain adaptive processing, which is insensitive...
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