Multichannel adaptive signal detection uses test and training data jointly to form an detector determine whether a target exists. The resulting detectors typically possess constant false alarm rate (CFAR) properties; thus, no additional CFAR processing is required. In addition, filtering process also not required because the function embedded in detector. Adaptive exhibits better performance th...

0018-9251/00/$10.00 @ 2000 IEEE Use of a fixed threshold for the detection of radar signals results either in a degradation in the detection performance or an excessive increase in the FAR (false alarm rate), as a consequence of the variation in the background noise power. Therefore, using an adaptive threshold with the CFAR (constant FAR) property is unavoidable in most radar and automatic det...

Abstract With oceanic reverberation and a large amount of data being the main sources interference for underwater acoustic target detection, it is difficult to obtain more robust detection performance by relying on traditional constant false alarm rate (CFAR) method. An adaptive sonar CFAR method based back propagation (BP) neural network proposed. The combines artificial intelligence algorithm...

This paper introduces and analyses a technique that implements CFAR detection and parameter estimation of moving targets in urban terrain. Firstly, it presents a probability distribution to use with the product model. This model helps to account for the extremely high inhomogeneity encountered in urban terrain. Along with the proposed distribution, the paper then discusses the numerical computa...

In this paper, a new cut detection algorithm with constant false-alarm ratio (CFAR) is proposed for video segmentation. In our method, a theoretical threshold determination strategy using the non-parameter based CFAR processing technique is developed to achieve a controllable precision as well as an evaluative recall performance for video cut detection. Simulation results show that this algorit...

Collaborative code review has become an integral part of the collaborative design process in the domain of software development. However, there are well-documented challenges and limitations to collaborative code review—for instance, highquality code reviews may require significant time and effort for the programmers, whereas faster, lower-quality reviews may miss code defects. To address these...

In this paper, the polar Hough transform (PHT) is considered as a track initiator in a track before detect (TBD) system. The study is performed in the presence of impulse interference. The algorithm under study includes a parametric CFAR detector, which works successfully in conditions of impulse interference and uses the polar Hough transform. The proposed Hough detector improves the detection...

As radar sensors are being miniaturized,there is a growing interest for using them in indoor sensing applications such as drone obstacle avoidance. In those novel scenarios,radars must perform well dense scenes with large number of neighboring scatterers. Central to performance the detection algorithm used separate targets from background noise and clutter. Traditionally,most systems use conven...

This article presents a deep neural network-based constant false alarm rate (NNB-CFAR) detector for simulated high-frequency surface wave radar (HFSWR) data. A network is trained to identify fluctuation parameters of each cell range-Doppler power spectrum based on the patterns present in neighbouring cells. The estimated are then used calculating detection threshold with user-specified probabil...

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