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This paper addresses the problem of vital sign estimation using radar equipped with multiple receive antennas. We analyze the use of different adaptive processing techniques to extract and enhance the information of the micro-Doppler effect from vital signs on the radar signal from multiple antennas. These techniques are shown to provide an increase in vital sign estimation accuracy, and enable operation...
A focused study on the C-band polarimetric scattering and physical characteristics of experimental sea ice was conducted at the Sea-ice Environmental Research Facility. Sea ice was grown in an outdoor pool outfitted with automated sensors to monitor environmental conditions. Radar measurements were sensitive to four distinct stages of development: (I) initial formation, (II) surface brine expulsion,...
Increased use of low probability of intercept (LPI) waveforms in current radar systems, enforces the use of sophisticated hardware and signal processing algorithms in intercept receiver technology. In this study, an adaptive filtering technique based on elliptic Gaussian filter is proposed to be used by intercept receivers. The filter is implemented on Wigner-Ville Distribution (WVD) images of different...
The aim of this work is to combine clutter suppression and ISAR processing in order to obtain well focused images of extended moving targets. A STAP ISAR based moving target imaging scheme for Multichannel SAR (M-SAR) in strong clutter environment is presented. This scheme consists of two main processing steps. The first step performs clutter mitigation and radar motion compensation by exploiting...
Traditionally, the land or sea clutter with unknown covariance matrix is generally modeled as compound-Gaussian distribution with completely correlated texture in high-resolution (HR) radar. However, the detailed study on the measured clutter data from the search radar exhibits that the clutter satisfies compound-Gaussian distribution with partially correlated texture. The paper mainly addresses adaptive...
The paper presents a practical foundation for building and deploying affordable, cognitive radar information networks (CRINs) to secure large, unmanned borders such as the 3,700 km Canada/U.S. border that runs through the Great Lakes. The proposed systems and methods are novel and necessary if radar's future in the 21st century is to embody the risk management principles needed to optimize system...
Satellite borne SAR is a primary data source for ice information services. For this application, effective use of SAR requires expert analysts that understand its behaviour in a wide variety of environmental conditions. Automated ice classification from SAR imagery is an active area of research that attempts to support or even replace some aspects of the ice analyst's work. An alternative approach...
Coherent Change Detection (CCD) is a powerful technique for detecting fine scene changes between two Synthetic Aperture Radar (SAR) images taken at different times. SAR CCD imagery can detect ground disturbances that are invisible in optical or traditional SAR imagery, such as footprints or vehicle tracks [1]. One particular problem with the extreme sensitivity of CCD is the presence of false alarms...
We present a technique that merges Compressive Sensing and Wiener filtering (denoted as CS-Wiener) and compares it to standard Wiener filtering (denoted as Std-Wiener) in radar detection and estimation in a Space-Time Adaptive Processing application. The method leverages an inherent similarity in the Generalized Sidelobe Canceller transformation to that of the Compressive Sensing sampling function,...
The article proposes a method for HF emitter geolocation and mode group range estimation when the signal of interest is received via sky-wave propagation by a uniform linear array (ULA) of antennas. Ionospheric multipath and the geometrical relationships that constrain such propagation are exploited to derive a new estimator for a problem that inherently produces an ambiguous solution when the modes...
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