Results 1 - 10 of 82

A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition

by Juhwan Yoo, Christopher Turnes, Eric Nakamura, Chi Le, Stephen Becker, Emilio Sovero, Michael Wakin, Michael Grant, Justin Romberg, Azita Emami-Neyestanak, Emmanuel Candès , 2009
"... In this paper we present a complete (hardware/software) sub-Nyquist rate (×13) wideband signal acquisition chain capable of acquiring radar pulse parameters in an instantaneous bandwidth spanning 100 MHz–2.5 GHz with the equivalent of 8 ENOB digitizing performance. The approach is based on the alte ..."
Abstract - Cited by 7 (2 self) - Add to MetaCart
In this paper we present a complete (hardware/software) sub-Nyquist rate (×13) wideband signal acquisition chain capable of acquiring radar pulse parameters in an instantaneous bandwidth spanning 100 MHz–2.5 GHz with the equivalent of 8 ENOB digitizing performance. The approach is based

Pulse compression for weather radars

by Ashok S. Mudukutore, V. Ch, R. Jeffrey Keeler - IEEE Transactions on Geoscience and Remote Sensing , 1998
"... Abstract—Wideband waveform techniques, such as pulse com-pression, allow for accurate weather radar measurements in a short data acquisition time. However, for extended targets such as precipitation systems, range sidelobes mask and corrupt observations of weak phenomena occurring near areas of stro ..."
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Abstract—Wideband waveform techniques, such as pulse com-pression, allow for accurate weather radar measurements in a short data acquisition time. However, for extended targets such as precipitation systems, range sidelobes mask and corrupt observations of weak phenomena occurring near areas

Pulse Extraction for Radar Emitter Location

by Mark L. Fowler, Zhen Zhou, Anupama Shivaprasad
"... Abstract – Two related data compression methods for radar signals are described and analyzed. The methods use the singular value decomposition (SVD) of a data matrix containing one pulse in each row to exploit pulseto-pulse redundancy. By using a rank-one approximation to the data matrix it is possi ..."
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Abstract – Two related data compression methods for radar signals are described and analyzed. The methods use the singular value decomposition (SVD) of a data matrix containing one pulse in each row to exploit pulseto-pulse redundancy. By using a rank-one approximation to the data matrix

WAVEFORM OPTIMIZATION FOR COMPRESSIVE SENSING RADAR SYSTEMS

by Lyubomir Zegov, Radmila Pribić, Geert Leus
"... Compressive sensing (CS) provides a new paradigm in data acquisition and signal processing for radar. In this work, we investigate the performance of several deterministic waveforms for the basic problem of range-only estimation in CS-radar system. We investigate the effects of a digital RF system- ..."
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Compressive sensing (CS) provides a new paradigm in data acquisition and signal processing for radar. In this work, we investigate the performance of several deterministic waveforms for the basic problem of range-only estimation in CS-radar system. We investigate the effects of a digital RF system

Sensing by Random Convolution

by Justin Romberg - IEEE Int. Work. on Comp. Adv. Multi-Sensor Adaptive Proc., CAMPSAP , 2007
"... Abstract. This paper outlines a new framework for compressive sensing: convolution with a random waveform followed by random time domain subsampling. We show that sensing by random convolution is a universally efficient data acquisition strategy in that an n-dimensional signal which is S sparse in a ..."
Abstract - Cited by 112 (7 self) - Add to MetaCart
Abstract. This paper outlines a new framework for compressive sensing: convolution with a random waveform followed by random time domain subsampling. We show that sensing by random convolution is a universally efficient data acquisition strategy in that an n-dimensional signal which is S sparse

1Spatial Compressive Sensing for MIMO Radar

by Marco Rossi, Student Member, Er M. Haimovich, Yonina C. Eldar
"... Abstract—We study compressive sensing in the spatial domain to achieve target localization, specifically direction of arrival (DOA), using multiple-input multiple-output (MIMO) radar. A sparse localization framework is proposed for a MIMO array in which transmit and receive elements are placed at ra ..."
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Abstract—We study compressive sensing in the spatial domain to achieve target localization, specifically direction of arrival (DOA), using multiple-input multiple-output (MIMO) radar. A sparse localization framework is proposed for a MIMO array in which transmit and receive elements are placed

LIE OPERATORS FOR COMPRESSIVE SENSING

by Chinmay Hegde, Aswin Sankaranarayanan, Richard Baraniuk
"... We consider the efficient acquisition, parameter estimation, and recovery of signal ensembles that lie on a low-dimensional manifold in a high-dimensional ambient signal space. Our particular focus is on randomized, compressive acquisition of signals from the manifold generated by the transformation ..."
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We consider the efficient acquisition, parameter estimation, and recovery of signal ensembles that lie on a low-dimensional manifold in a high-dimensional ambient signal space. Our particular focus is on randomized, compressive acquisition of signals from the manifold generated

1Compressive Link Acquisition in Multiuser Communications

by Xiao Li, Andrea Rueetschi, Anna Scaglione, Yonina C. Eldar
"... Abstract—An important receiver operation is to detect the presence specific preamble signals with unknown delays in the presence of scattering, Doppler effects and carrier offsets. This task, referred to as “link acquisition”, is typically a sequential search over the transmitted signal space. Recen ..."
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Abstract—An important receiver operation is to detect the presence specific preamble signals with unknown delays in the presence of scattering, Doppler effects and carrier offsets. This task, referred to as “link acquisition”, is typically a sequential search over the transmitted signal space

Performance of a 1319 nm laser radar using RF pulse compression

by Christopher Allen Yanki, Christopher Allen, Yanki Cobanoglu, Sekken Kenny Chong, Sivaprasad Gogineni - Proceedings of the 2001 International Geoscience and Remote Sensing Symposium (IGARSS '01), Sydney, session SS52, paper Th03-04 , 2001
"... Spaceborne lidars have been shown to provide data on surface elevation, vegetation canopy heights, and aerosol characteristics. Satellites carrying lidars for measuring ice sheet surface elevation and vegetation canopy heights are scheduled to be launched in the next few years. To achieve the necess ..."
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industry. We used RF pulse compression to achieve the sensitivity needed for spaceborne applicatons and have increased the PRF to provide more dense sampling. We have developed and reported (IGARSS 99 [1], 00 [2]) preliminary results of a fiber-optic-based, laser radar that applies RF pulse compression

ISAR imaging of nonuniform rotation targets with limited pulses via compressed sensing

by J. H. Liu, X. Li, S. K. Xu, Z. W. Zhuang - Progress In Electromagnetics Research B
"... Abstract—This research introduces compressed sensing (CS) principle into inverse synthetic aperture radar (ISAR) imaging of nonuniform rotation targets, and high azimuth resolution can be achieved with limited number of pulses. Firstly, the sparsity of the echoed signal of radar targets with non-uni ..."
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Abstract—This research introduces compressed sensing (CS) principle into inverse synthetic aperture radar (ISAR) imaging of nonuniform rotation targets, and high azimuth resolution can be achieved with limited number of pulses. Firstly, the sparsity of the echoed signal of radar targets with non
Results 1 - 10 of 82