This report describes the results of detailed statistical analysis of sea clutter data that were collected during the ESRL 38/97 trial, which was held off the Northern Australian coastline in February 1999. One of the trial's main objectives was to contribute to a database of experimentally collected clutter returns with radar system parameters that are comparable to those used in the Elta EL/M...

[1] Refractivity from clutter (RFC) refers to techniques that estimate the atmospheric refractivity profile from radar clutter returns. A RFC algorithm works by finding the environment whose simulated clutter pattern matches the radar measured one. This paper introduces a procedure to compute RFC estimator performance. It addresses the major factors such as the radar parameters, the sea surface...

Radar based object detection systems have been in place for about a century serving various purposes like detection of ships aircrafts, spacecraft, navigation, reading weather formations and terrain mapping. With the advent of better packing technologies and signal conditioning circuits radars have become compact and affordable thus offering comparatively low cost solutions than other systems b...

in recent years, wavelet packet modulation ofdm (wpm-ofdm) signals have been introduced for radar applications. these signals have important properties such as inherent high range resolution and high resistance of radar system against jamming reception. this paper investigates the problem of designing these family of signals according to the following criteria: constrained maximization of the d...

An artificial intelligence system improves radar signal processor performance by increasing target probability of detection and reducing probability of false alarm in a severe radar clutter environment. This utilizes advances in artificial intelligence and expert systems technology for the development of data analysis and information (signal) processors used in conjunction with conventional (de...

We propose a method to detect a target in a bistatic passive polarimetric radar network, with weather surveillance radar as our illuminator of opportunity (IO). We build our signal model using electromagnetic vector sensors (EMVS) as the receiver, which captures the reflections from a point-like target present in the scene of interest, surrounded with strong clutter. We develop a generalized li...

This paper addresses the problem of clutter patch identification based on Markov random field (MRF) models. MRF has long been recognized by the image processing community to be an accurate model to describe a variety of image characteristics such as texture. Here, we use the MRF to model clutter patch characteristics, captured by a radar receiver or radar imagery equipment, due to the fact that...

For an operational radar, backscatter of the transmitted signal by the elements of the sea surface often places severe limits on the detect ability of returns from ships, missiles, navigation buoys, and other targets sharing the radar resolution cell with the sea surface. These interfering signals are commonly referred to as sea clutter, or sea echo. Maritime surveillance radar experiences seri...

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....

An ultra-wideband (UWB) synthetic aperture radar (SAR) simulation technique that employs physical and statistical models is developed and presented. This joint physics/statistics based technique generates images that have many of the “blob-like” and “spiky” clutter characteristics of UWB radar data in forested regions while avoiding the intensive computations required for the implementation of ...