Multipath Exploitation in Non-LOS Urban Synthetic Aperture Radar

Setlur, Pawan; Negishi, Tadahiro; Devroye, Natasha; Erricolo, Danilo

doi:10.1109/jstsp.2013.2287185

Cited by 49 publications

(19 citation statements)

References 26 publications

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“…To ensure a full rank estimate of R u (s), sufficient training data from neighboring range cells / gates must be available [2], [13]. This is seldom the case in practice, therefore, practical implementations of the waveform adaptive radar STAP processor becomes challenging.…”

Section: A Preliminariesmentioning

confidence: 99%

Proximal constrained waveform design algorithms for cognitive radar STAP

Setlur

Rangaswamy

2014

2014 48th Asilomar Conference on Signals, Systems and Computers

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Waveform design is an important component of the fully adaptive radar construct. In this paper we consider waveform design for radar space time adaptive processing (STAP), accounting for the waveform dependence of the clutter correlation matrix. Due to this dependence, in general, the joint problem of receiver weight vector optimization and radar waveform design is intractable. To addresses scarcity of representative data in range cells for estimating the STAP correlation matrices, we consider proximal constrained alternating minimization. These algorithms, at each step, regularize and optimize the STAP weight vector and the waveform iteratively. Unlike traditional STAP techniques, these algorithms are numerically stable, and can be used in the practical training data starved STAP scenarios. Our simulations reveal a non-increasing error variance at the output of the filter.

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Section: A Preliminariesmentioning

confidence: 99%

Proximal constrained waveform design algorithms for cognitive radar STAP

Setlur

Rangaswamy

2014

2014 48th Asilomar Conference on Signals, Systems and Computers

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“…In [24] we extended our understanding of how to exploit multi path in urban scenarios by considering scenes in which the targets that are hidden due to lack of line of sight (LOS) path in urban environments; we sought to image these targets. Conventional processing via synthetic aperture beamforming algorithms do not detect or localize the target at its true position.…”

Section: Topic 2: Multipath Exploitation In Radar Systemsmentioning

confidence: 99%

Fundamental Bounds on Information Fusion with Focus on Waveform-based Intent Detection and Avoidance

Devroye¹

2013

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Standard Form 298 (Rev. 8/98) REPORT DOCUMENTATION PAGE Prescribed by ANSI Std. Z39.18Form The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to the Department of Defense, Executive Services and Communications Directorate (0704-0188). Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number.

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“…Unlike the urban environment (see [4][5][6][7] for instance), not many papers are available on the use of multipath propagation in a marine environment for ship recognition applications. Models for multipath propagation have been reported in literature [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Ship Profile Imaging Using Multipath Backscattering

2019

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This paper addresses the estimation of the height of a point scatterer over a sea surface via multipath exploitation for a High Range Resolution radar that is using pulse range compression, such as Synthetic Aperture Radars. We first focus our attention on the physical model, in particular on the specular/diffuse reflection coefficients, this coefficients being derived from the empirical Miller Brown and Vegh model. The gravity waves are also simulated since they modify the acquisition geometry such as the local grazing angle. Secondly, the signal model is derived, thus allowing an easy derivation of the time delays (direct echo and replicas), these time delays being converted into a height estimation for possible automatic ship recognition applications. Our algorithm is a non-conventional radar signal processing, in other words it uses the backscattered pulse over before range compression and demodulation. The aim of the paper is to understand for which radar and sea parameters, as well as acquisition scenes, it is possible to extract the scatterer height information using the multipath of the backscattered electromagnetic wave.

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Multipath Exploitation in Non-LOS Urban Synthetic Aperture Radar

Cited by 49 publications

References 26 publications

Proximal constrained waveform design algorithms for cognitive radar STAP

Proximal constrained waveform design algorithms for cognitive radar STAP

Fundamental Bounds on Information Fusion with Focus on Waveform-based Intent Detection and Avoidance

Ship Profile Imaging Using Multipath Backscattering

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