Narrow Band High Resolution Radar Imaging

Coetzee, S.; Baker, Chris; Griffiths, Hugh

doi:10.1109/radar.2006.1631865

Cited by 33 publications

(29 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Algorithm Measurement Position Dependence Fingerprint-Matching [1], [17], [10] RSS Absolute SVM [18], [38] RSS Absolute Field Reconstruction [39] Narrowband Relative Ultra-Narrowband [40], [41], [42], [43], [44] Narrowband Relative MIMO Radar [45] Narrowband Relative or RSS Geometric UWB [20], [35] UWB Relative Probabilistic UWB [46], [47] UWB Relative Mapping [48], [49] UWB Relative Tomographic Imaging [50], [11], [15], [13] RSS Relative…”

Section: A Fingerprint-based Methodsmentioning

confidence: 99%

“…A similar approach [40], [41], [42], [43] is called "ultranarrowband (UNB) radar", in contrast to UWB, because of its transmission and reception of a CW signal rather than a wideband signal. UNB uses phase-coherent measurements at locations surrounding a target and Fourier-based tomographic reconstruction to image scattering as a function of space.…”

Section: B Em Wave Field Reconstructionmentioning

confidence: 99%

“…UNB uses phase-coherent measurements at locations surrounding a target and Fourier-based tomographic reconstruction to image scattering as a function of space. For example, in [43], measurements are made by placing an object on a rotating table to simulate what would happen if sensors were placed every two degrees around the object. In theory, a few phase-synchronous transceivers can be used to create a "virtual tomographic array" which can reposition the phase center of the transmitted signal to points in the convex hull of the transceivers [44] which then reduce the need for phase synchronous transceivers.…”

Section: B Em Wave Field Reconstructionmentioning

confidence: 99%

See 2 more Smart Citations

RF Sensor Networks for Device-Free Localization: Measurements, Models, and Algorithms

2010

View full text Add to dashboard Cite

Abstract-We discuss the emerging application of device-free localization using wireless sensor networks, which find people and objects in the environment in which the network is deployed, even in buildings and through walls. These networks are termed "RF sensor networks" because the wireless network itself is the sensor, using RF signals to probe the deployment area. Devicefree localization in cluttered multipath environments has been shown to be feasible, and in fact benefits from rich multipath channels. We describe modalities of measurements made by RF sensors, the statistical models which relate a person's position to channel measurements, and describe research progress in this area.

show abstract

Section: A Fingerprint-based Methodsmentioning

confidence: 99%

Section: B Em Wave Field Reconstructionmentioning

confidence: 99%

Section: B Em Wave Field Reconstructionmentioning

confidence: 99%

See 1 more Smart Citation

RF Sensor Networks for Device-Free Localization: Measurements, Models, and Algorithms

2010

View full text Add to dashboard Cite

show abstract

“…Radar imaging with ultra-narrowband waveforms has received interest before [1][2][3][4][5][6][7][8][9]. In [1,2], the imaging of rotating objects using a single-frequency continuous wave (CW) illumination was investigated theoretically.…”

Section: Introductionmentioning

confidence: 99%

Doppler synthetic aperture radar imaging

Yazıcı

2011

SPIE Proceedings

View full text Add to dashboard Cite

We consider synthetic aperture radar system using ultra-narrowband continuous waveforms, which we refer to as Doppler Synthetic Aperture Radar (DSAR). We present a novel image formation method for bi-static DSAR. Our method first correlates the received signal with a scaled or frequency-shifted version of the transmitted signal over a finite time window, and then uses microlocal analysis to reconstruct the scene by a filtered-backprojection of the correlated signals. Our approach can be used under non-ideal imaging scenarios such as arbitrary flight trajectories and non-flat topography. Furthermore, it is an analytic reconstruction technique which can be made computationally efficient. We present numerical experiments to demonstrate the performance of the proposed method.

show abstract

“…Recent experimental work under controlled conditions in anechoic chambers , ) and using turntable-mounted targets (Coetzee et al, 2006) has demonstrated the validity of these theoretical approaches, and may be expected to pave the way for more practical experiments and systems.…”

Section: Tomography Of Moving Targetsmentioning

confidence: 98%

Radar Imaging for Combatting Terrorism

Griffiths

Baker

Imaging for Detection and Identification

View full text Add to dashboard Cite

Abstract. Radar, and in particular imaging radar, have many and varied applications to counterterrorism. Radar is a day/night all-weather sensor, and imaging radars carried by aircraft or satellites are routinely able to achieve high-resolution images of target scenes, and to detect and classify stationary and moving targets at operational ranges. Short-range radar techniques may be used to identify small targets, even buried in the ground or hidden behind building walls. Different frequency bands may be used, for example high frequencies (X-band) may be used to support high bandwidths to give high range resolution, while low frequencies (HF or VHF) are used for foliage penetration to detect targets hidden in forests, or for ground penetration to detect buried targets.The purpose of this contribution is to review the fundamental principles of radar imaging, and to consider the contributions that radar imaging can make in four specific aspects of counterterrorism: through-wall radar imaging, radar detection of buried targets, tomography and detection of concealed weapons, and passive bistatic radar.

show abstract

Narrow Band High Resolution Radar Imaging

Cited by 33 publications

References 4 publications

RF Sensor Networks for Device-Free Localization: Measurements, Models, and Algorithms

RF Sensor Networks for Device-Free Localization: Measurements, Models, and Algorithms

Doppler synthetic aperture radar imaging

Radar Imaging for Combatting Terrorism

Contact Info

Product

Resources

About