Correlations between entangled quantum states can be exploited to dramatically improve detection sensitivity under certain conditions. In this paper we argue that space-based surveillance ideally satisfies these condi...
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ISBN:
(纸本)9781628415773
Correlations between entangled quantum states can be exploited to dramatically improve detection sensitivity under certain conditions. In this paper we argue that space-based surveillance ideally satisfies these conditions and represents a practical application of quantum sensing for the detection of near-earth objects which threaten spacecraft or terrestrial life.
A noise radar system is proposed with capabilities to measure and acquire the radar cross-section (RCS) of targets. The proposed system can cover a noise bandwidth of near DC to 50 GHz. The noise radar RCS measurement...
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ISBN:
(纸本)9781628415773
A noise radar system is proposed with capabilities to measure and acquire the radar cross-section (RCS) of targets. The proposed system can cover a noise bandwidth of near DC to 50 GHz. The noise radar RCS measurements were conducted for selective targets like spheres and carpenter squares with and without dielectric bodies for a noise band of 400MHz-5000MHz. The bandwidth of operation was limited by the multiplier and the antennae used.
radar Intelligence, Surveillance, and Reconnaissance (ISR) does not always involve cooperative or even friendly environments or targets. The environment in general, and an adversary in particular, may offer numerous c...
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ISBN:
(纸本)9781628415773
radar Intelligence, Surveillance, and Reconnaissance (ISR) does not always involve cooperative or even friendly environments or targets. The environment in general, and an adversary in particular, may offer numerous characteristics and impeding techniques to diminish the effectiveness of a radar ISR sensor. These generally fall under the banner of jamming, spoofing, or otherwise interfering with the Electromagnetic (EM) signals required by the radarsensor. Consequently mitigation techniques are often prudent to retain efficacy of the radarsensor. We discuss in general terms a number of mitigation techniques.
Ladar and other 3D imaging modalities have the capability of creating 3D micro-Doppler to analyze the micro-motions of human subjects. An additional capability to the recognition of micro-motion is the recognition of ...
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ISBN:
(纸本)9781628415773
Ladar and other 3D imaging modalities have the capability of creating 3D micro-Doppler to analyze the micro-motions of human subjects. An additional capability to the recognition of micro-motion is the recognition of the moving part, such as the hand or arm. Combined with measured RCS values of the body, ladar imaging can be used to ground-truth the more sensitive radar micro-Doppler measurements and associate the moving part of the subject with the measured Doppler and RCS from the radar system. The 3D ladar signatures can also be used to classify activities and actions on their own, achieving an 86% accuracy using a micro-Doppler based classification strategy.
This paper presents the results of our experimental investigation into the radar micro-Doppler signatures (MDS) of various human activities both in free-space and through-wall environments. The collection of MDS signa...
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ISBN:
(纸本)9781628415773
This paper presents the results of our experimental investigation into the radar micro-Doppler signatures (MDS) of various human activities both in free-space and through-wall environments. The collection of MDS signatures was divided into two categories: stationary and forward-moving. Each category of MDS signatures encompassed a variety of movements associated with it, adding up to a total of 14 human movements. Using a 6.5-GHz C-band coherent radar, the MDS of six human subjects were gathered in free-space and through-wall environments. The MDS for these cases were analyzed in detail and the general properties of the signatures were related to their associated phenomenological characteristics. Based upon the MDS, specific features for designing detectors and classifiers of human targets performing such movements are extracted.
We present an analysis of receiver performance when diverse waveforms such as the advanced pulse compression noise (APCN) are used. Two perspectives within the shared channel are considered: (1) a radar transceiving A...
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ISBN:
(纸本)9781628415773
We present an analysis of receiver performance when diverse waveforms such as the advanced pulse compression noise (APCN) are used. Two perspectives within the shared channel are considered: (1) a radar transceiving APCN in the presence of other radar interference sources, and (2) a communications system transceiving M-ary quadrature amplitude modulation (QAM) in the presence of a radar interference sources practicing waveform diversity. Through simulation, we show how waveform diversity and the ability to tune the APCN spectrum characteristics minimizes interference for co-channel users.
The Johns Hopkins University Multi Modal Action (JHUMMA) dataset contains a set of twenty-one actions recorded with four sensor systems in three different modalities. The data was collected with a data acquisition sys...
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ISBN:
(纸本)9781628415773
The Johns Hopkins University Multi Modal Action (JHUMMA) dataset contains a set of twenty-one actions recorded with four sensor systems in three different modalities. The data was collected with a data acquisition system that includes three independent active sonar devices at three different frequencies and a Microsoft Kinect sensor that provides both RGB and Depth data. We have developed algorithms for human action recognition from active acoustics and provide benchmark baseline recognition performance results.
Super-computing based on Graphic Processing Unit (GPU) has become a booming field both in research and industry. In this paper, GPU is applied as the main computing device on traditional radar super resolution algorit...
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ISBN:
(纸本)9781628415773
Super-computing based on Graphic Processing Unit (GPU) has become a booming field both in research and industry. In this paper, GPU is applied as the main computing device on traditional radar super resolution algorithms. Comparison is provided between GPU and CPU as computing architecture and MATLAB, as a widely used scientific implementation, is also included as well as C++ implementation in demonstrations of CPU part in the comparison. Fundamental radar algorithms as matched filter and least square estimation (LSE) are used as standard procedure to measure the efficiency of each implementation. Based on the result in this paper, GPU shows an enormous potential to expedite the traditional process of radar super-resolution applications.
Knowledge of the spectral reflectance signature of human skin over a wide spectral range will help advance the development of sensing systems for many applications, ranging from medical treatment to security technolog...
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ISBN:
(纸本)9781628415773
Knowledge of the spectral reflectance signature of human skin over a wide spectral range will help advance the development of sensing systems for many applications, ranging from medical treatment to security technology. A critical component of the signature of human skin is the variability across the population. We describe a simple measurement method to measure human skin reflectance of the inside of the forearm. The variability of the reflectance spectra for a number of subjects measured at NIST is determined using statistical methods. The degree of variability is explored and discussed. We also propose a method for collaborating with other scientists, outside of NIST, to expand the data set of signatures to include a more diverse population and perform a meta-analysis to further investigate the variability of human skin reflectance.
Nowadays polarimetric decompositions are common processing techniques for synthetic aperture radar images. However, some of the decomposition methods can also be applied to imagery obtained in radar cross-section meas...
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ISBN:
(纸本)9781628415773
Nowadays polarimetric decompositions are common processing techniques for synthetic aperture radar images. However, some of the decomposition methods can also be applied to imagery obtained in radar cross-section measurement ranges. Since commonly artificial targets are measured in these ranges, coherent decompositions are of special interest for the analysis of these images. In this paper, a Kennaugh matrix decomposition is used to remove non-polarized clutter from fully polarized targets. Therefore two averaging techniques required for the decomposition will be compared. Also a variation of this decomposition which is related to a well-known image processing filter will be introduced. Finally it will be demonstrated that both methods can enhance the contrast of radar cross-section images.
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