This tutorial provides an introduction to the application of knowledge-based processing to the general radar problem. We interpret knowledge-based processing as the use of adaptivity and the exploitation of prior knowledge in such a way as to choose the optimum processing method in each case, and we interpret the general radar problem as the detection, classification and tracking of targets aga...

Visual clutter concerns designers of user interfaces and information visualizations. This should not surprise visual perception researchers, since excess and/or disorganized display items can cause crowding, masking, decreased recognition performance due to occlusion, greater difficulty at both segmenting a scene and performing visual search, and so on. Given a reliable measure of the visual cl...

A substantial bulk of work is now available in the literature about detection in non-Gaussian noise. Starting with the experimental evidence that the Gaussian assumption is no longer met in many situations of practical interest, much effort has been directed towards the study of conventional detectors under non-Gaussian clutter as well as the design and the analysis of new optimized structures....

Clutter removal of marine radar for weather observation depends on the quality and consistency clutter map. often become difficult since echoes from hard targets are much stronger than rain reflection. There is also constraint due to different azimuth angle each scan line in every scanner rotation resulting inconsistent map clutter. The effort obtain consistent easily distinguish method signal ...

This paper proposes orthogonal Discrete Frequency Coding Space Time Waveforms (DFCSTW) for Multiple Input and Multiple Output (MIMO) radar detection in compound Gaussian clutter. The proposed orthogonal waveforms are designed considering the position and angle of the transmitting antenna when viewed from origin. These orthogonally optimized show good resolution in spikier clutter with Generaliz...

A probabilistic backscatter coefficient generating function (CGF) is introduced which produces realistic backscatter coefficient values for various terrain types over all incidence angles. The CGF was developed in direct support of a multilayer 3-D clutter modeling effort which successfully incorporated probabilistic clutter reflectivity characteristics and measured terrain elevation data to en...

Space-time adaptive processing (STAP) is a well-suited technique to detect slow-moving targets in the presence of a clutter-spreading environment. When considering the STAP system deployed with conformal radar array (CFA), the training data is range-dependent, which results in poor detection performance of traditional statistical-based algorithms. Current registration-based compensation (RBC) i...

Radar backscatter of power lines has lower values than those of the surrounding ground clutter when the power line is oriented at an off-normal direction with respect to the radar line of sight. For power lines, the traditional detection algorithms that are commonly based on the statistics of the backscatter power of the clutter and target result in excessive false-alarm rates due to very low s...

The cardinalized probability hypothesis density (CPHD) filter is a powerful tool for multitarget tracking (MTT). However, conventional CPHD filter discriminates targets from clutter only via the motion information, which is not reasonable in the situation of dense clutter. In the tracking, the amplitude of target returns is usually stronger than those coming from clutter, so the amplitude infor...

This paper addresses a target detection problem for which the covariance matrix of the unknown Gaussian clutter background has block diagonal structure. This block diagonal structure is the consequence of the target lying along a boundary between two statisticallyindependentclutter regions. Here, we design adaptive detection algorithmsusing both the generalized likelihood ratio (GLR) and invari...