Comparison of the diffraction stack and time-reversal imaging algorithms applied to short-range UWB scattering data

Aliferis, Iannis; Savelyev, T.G.; Yedlin, M.; Dauvignac, J.-Y.; Yarovoy, Alexander; Pichot, Ch.; Ligfhart, L.

doi:10.1109/icuwb.2007.4381018

Cited by 5 publications

(3 citation statements)

References 12 publications

(10 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The TR (Time-Reversal) method [1,2] is an imaging algorithm for UWB radars, which provides a high-resolution capability in a multipath environment. Conventional TR methods have been applied to antenna array systems [3,4,5] but lead to a complex system that is too costly to use in practice. Our previous work [6,7] proposed a TR method with a single antenna, which can be applied to a low-cost simple radar system.…”

Section: Introductionmentioning

confidence: 99%

A target tracking method with a single antenna using time-reversal UWB radar imaging in a multi-path environment

Sakamoto

Sato

2010

2010 IEEE International Geoscience and Remote Sensing Symposium

View full text Add to dashboard Cite

UWB (Ultra Wide-Band) radar systems are promising imaging tools covering a variety of application fields including surveillance systems. UWB radar technology can provide advanced capabilities for current surveillance systems. An imaging algorithm for UWB radars, the TR (Time-Reversal) method enables high-resolution imaging in a multipath environment. Conventional TR methods have been applied to antenna array systems while our previous work proposed a TR method with a low-cost single antenna-based system. In this study, we propose a radar system with a single antenna on a vehicle in a multipath environment. This vehicle is assumed to get close to a moving target by adaptively tracking the target location. Some numerical simulation results show that the proposed low-cost system works well in a multi-path environment.

show abstract

Section: Introductionmentioning

confidence: 99%

A target tracking method with a single antenna using time-reversal UWB radar imaging in a multi-path environment

Sakamoto

Sato

2010

2010 IEEE International Geoscience and Remote Sensing Symposium

View full text Add to dashboard Cite

show abstract

“…Indeed, most of the previous work in multistatic GPR is motivated by the problem of tomographic imaging or inversion ([24, 39, 2], among others) and typically involves theoretical studies using simulated data. Small systems have more recently been developed for investigating multistatic GPR in the laboratory [54,11,1,9,5]. Many of these systems were motivated by the success of time-reversal processing techniques for multistatic array data [12,13,46,35,34,16,17].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Vehicle-Mounted Multistatic Ground Penetrating Radar Imaging System for Buried Object Detection

Chambers¹,

Paglieroni²,

Mast³

et al. 2013

View full text Add to dashboard Cite

A multistatic ground penetrating radar system is described, capable of real-time imaging and object detection. The radar consists of 16 transmitter and receiver pairs mounted across the front of a vehicle. The transmitters operate sequentially with all receivers activated for each transmit pulse. The resulting frame of 256 multistatic time signals is processed into an image using a tomographic reconstruction technique. In this paper we describe the system architecture, signal conditioning, and reconstruction algorithm for producing a sequence of images in real time as the vehicle travels across the ground. We demonstrate a robust image post-processing method that separates the bright spot corresponding to the dominant buried object in an image frame from the background. This is essential before calculating an energy-based statistic for automatic detection of buried objects. This spot ratio detection statistic, based on energy both inside and outside the spot, is shown to be not only more stationary than spot energy (i.e. mostly free of localized trends due to changing ground conditions), but also more powerful as a detection statistic. Finally, we demonstrate that multistatic imaging significantly improves the detection performance over more conventional monostatic array processing.

show abstract

“…Microwave imaging with a resolution at the sub-wavelength level is attractive in many applications, which include: high-directivity arrays used in modern self-tracking wireless communication systems [5]; electromagnetic sounding of 3D structures of an inhomogeneous dielectric half-space for nanophysics, biological and medical diagnostics [6]; and short-range Ultra-wide Band (UWB) radar imaging [7], to name a few. Many approaches have been proposed for microwave sub-wavelength imaging, including nonlinear metamaterial elements [8], periodic layered metal-dielectric structures [9], metallic screens comprised of closely spaced and unequal slits [10], Fresnel zone-plates [11], etc.…”

Section: Introductionmentioning

confidence: 99%

Performance Enhancement of Microwave Sub-Wavelength Imaging and Lens-Type Doa Estimation Systems by Using Signal Processing Techniques (Invited Paper)

Gu¹,

Mittra²,

Pelletti³

et al. 2014

PIER

View full text Add to dashboard Cite

Abstract-In this work, we show how we can improve the image resolution capabilities of a Phase Conjugating (PC) lens as well as the angular resolution of Luneburg lens antennas by employing signal processing techniques such as the Correlation Method (CM), the Minimum Residual Power Search Method (MRPSM), the sparse reconstruction method, and the Singular-Value-Decomposition (SVD)-based basis matrix method. In the first part, we apply these techniques for sub-wavelength imaging in the microwave regime by combining them with the well-known phase conjugation principle. We begin by considering a one-dimensional microwave sub-wavelength imaging problem handled by using three signal processing methods, and then we move on to two-or three-dimensional problems by using the SVD-based basis matrix method. Numerical simulation results show that we can enhance the resolution significantly by using these methods, even if the measurement plane is not located in the very nearfield region of the source. We describe these proposed algorithms in detail and study their abilities to resolve at the sub-wavelength level. Next, we investigate the sparse reconstruction method for a normal Luneburg lens antenna and the Correlation Method and the SVD-based basis matrix method for a flat-base Luneburg lens antenna to estimate the Direction-of-Arrival (DOA). Numerical simulation results show that the signal processing techniques are capable of enhancing the angular resolution of the Luneburg lens antenna enabling the lens to locate multiple targets with different scattering cross-sections and achieving higher angular resolution.

show abstract

Comparison of the diffraction stack and time-reversal imaging algorithms applied to short-range UWB scattering data

Cited by 5 publications

References 12 publications

A target tracking method with a single antenna using time-reversal UWB radar imaging in a multi-path environment

A target tracking method with a single antenna using time-reversal UWB radar imaging in a multi-path environment

Real-Time Vehicle-Mounted Multistatic Ground Penetrating Radar Imaging System for Buried Object Detection

Performance Enhancement of Microwave Sub-Wavelength Imaging and Lens-Type Doa Estimation Systems by Using Signal Processing Techniques (Invited Paper)

Contact Info

Product

Resources

About