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Date 7-11 May 2012

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Displaying Results 1 - 25 of 204
  • Table of contents

    Publication Year: 2012 , Page(s): 1
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  • [Copyright notice]

    Publication Year: 2012 , Page(s): 1
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  • Author index

    Publication Year: 2012 , Page(s): 1 - 9
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  • Technical program table of contents

    Publication Year: 2012 , Page(s): 1 - 20
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  • [Front cover]

    Publication Year: 2012 , Page(s): c1
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  • Welcome from chairs

    Publication Year: 2012 , Page(s): 1
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  • Organizing Committee

    Publication Year: 2012 , Page(s): 1
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  • Technical review committee

    Publication Year: 2012 , Page(s): 1 - 2
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  • Plenary speakers

    Publication Year: 2012 , Page(s): 1
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  • 2012 IEEE-AESS Fred Nathanson Young engineer of the year award

    Publication Year: 2012 , Page(s): 1
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  • 2012 IEEE-AESS Harry Rowe Mimno award

    Publication Year: 2012 , Page(s): 1 - 2
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  • IEEE and AESS awards

    Publication Year: 2012 , Page(s): 1
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  • Tutorials at a glance

    Publication Year: 2012 , Page(s): 1 - 19
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (120 KB)  

    Provides a schedule of conference events and a listing of which tutorial papers were presented in each session. View full abstract»

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  • Exhibitors

    Publication Year: 2012 , Page(s): 1
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  • Corporate partners

    Publication Year: 2012 , Page(s): 1
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  • Corporate partner advertisements

    Publication Year: 2012 , Page(s): 1 - 3
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  • [Back cover]

    Publication Year: 2012 , Page(s): c4
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  • Two-dimensional random sparse sampling for high resolution SAR imaging based on compressed sensing

    Publication Year: 2012 , Page(s): 0001 - 0005
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1172 KB) |  | HTML iconHTML  

    High speed analog-to-digital (A/D) sampling and a large amount of echo storage are two basic challenges of high resolution synthetic aperture radar (SAR) imaging. To address these problems, a novel SAR imaging algorithm is proposed based on compressed sensing (CS) in this paper. In particular, this new algorithm provides the approach of receiving echo data via two-dimensional (2-D) random sparse sampling with a significant reduction in the number of sampled data beyond the Nyquist theorem and with an implication in simplification of radar architecture. Then CS technique is used to reconstruct the targets in range and azimuth directions, respectively. The simulation results and error analysis show that the proposed CS-based imaging method presents many important applications and advantages which include less sampled data, lower peak side-lobe ratio (PSLR) and integrated side-lobe ratio (ISLR) and higher resolution than the traditional SAR imaging algorithm. View full abstract»

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  • An efficient mathematical description of range models for high-order-motion targets in synthetic aperture radar

    Publication Year: 2012 , Page(s): 0006 - 0010
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (796 KB) |  | HTML iconHTML  

    The paper proposes an efficient mathematical description for the range model of a moving target in synthetic aperture radar (SAR) geometry, without any limitations on the model order. The target may have high-order motions such as accelerations, jerks or micro-motions, and any-order one is decomposed in terms of azimuthal and radial directions. The relationship between target motion component, phase error order and SAR image characteristics are revealed with concise closed-form expressions, taking on an aesthetic sawtooth shape. Effects of accelerations, jerks and higher orders of target motion on SAR images are analyzed, and the effect negligibility condition is also given. The conclusion will serve as an important reference for motion parameter estimation as well as motion ambiguity resolution. View full abstract»

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  • Potential improvement of cognitive capability of naval modern multi-function RADAR

    Publication Year: 2012 , Page(s): 0011 - 0016
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1773 KB) |  | HTML iconHTML  

    Time management is crucial especially when operational context is critical. Tactical Picture Compilation (TPC), extension of the warfare domain of weapon systems, operational new context like littoral proximity, request cognitive time resource management for Naval MFR systems. The cognitive concept, to manage powerful time resource of MFR, has been introduced in the last generation of system. Nevertheless, there is always operational context, made of cocktail of number and repartition of threats, clutters condition, proximity of ground, jamming, which could push the system to start anti-overloading process. The effect of anti-overloading process doesn't allow MFR to comply with all real time internal activities that must be performed in such operational environment. This paper discusses some options to increase cognitive capability of modern Naval MFR, in order push away the border of activation of anti-overloading process. These options are based on the use of all information produced internally by the MFR, and discarded for most of them, at the time being, after having used in one specific way. View full abstract»

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  • Range-Doppler algorithm for processing bistatic SAR data based on the LBF in the constant-offset constellation

    Publication Year: 2012 , Page(s): 0017 - 0021
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (863 KB) |  | HTML iconHTML  

    This paper focuses on processing bistatic synthetic aperture radar data in the constant-offset configuration using the range-Doppler algorithm. The analytical two-dimensional signal spectrum introduced by Loffeld (Loffeld's Bistatic Formula: LBF) is used as the bistatic point-target reference spectrum. This spectrum consists of two key phase terms: a quasi-monostatic (QM) term similar to the monostatic phase of a point target, and a bistatic deformation (BD) term which is an intrinsic feature of the bistatic geometry and is due to the separation between the transmitter and receiver platforms. In this paper, both phase terms are combined into a single phase so that by directly using a Taylor series expansion, we may derive the key components of the signal including the azimuth modulation, range cell migration (RCM), and range-azimuth coupling. These terms can then be dealt with using the conventional processing techniques. In this paper, the range-Doppler algorithm is used which utilizes interpolation to remove the RCM, as in the monostatic case. Finally, simulation results are provided to verify the formulations. View full abstract»

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  • Three dimnesional real time ultra-wide band whole body imaging system

    Publication Year: 2012 , Page(s): 0022 - 0027
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (724 KB) |  | HTML iconHTML  

    We developed a revolutionary ultra wide band imaging device capable to reconstruct and display in real-time a three dimensional radar reflected volume. Following paper will consider various aspects of relevant time domain image reconstruction algorithms. Our approach was based on utilizing a non flat array comprised of ultra-wide band pulse based transmitters and receivers in dual polarity to extract three dimensional image of a given volume. We describe the mathematical fundamentals associated with the image reconstruction and present some preliminary results. View full abstract»

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  • Robust STAP for HFSWR in dense target scenarios with nonhomogeneous clutter

    Publication Year: 2012 , Page(s): 0028 - 0033
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (392 KB) |  | HTML iconHTML  

    Space-time adaptive processing (STAP) algorithms generally address interference, whether homogeneous or not, and are tested in environments with a single target or with targets that do not interact with each other. However, a high frequency surface-wave radar (HFSWR) monitoring off-shore activity likely sees many targets closely spaced in angle, Doppler and range. Target detection in HFSWR is further complicated by the nonhomogeneous sea clutter. In this paper we develop a two-stage STAP algorithm, based on the previously developed fast fully adaptive (FFA) approach, for the dense target scenarios of interest. The proposed algorithm is tested on measured data provided by Raytheon Canada. Our results show that the modified FFA scheme is able to detect targets not seen by the current scheme used to generate the provided track data. View full abstract»

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  • Multiple disjoint sources localization with the use of calibration emitters

    Publication Year: 2012 , Page(s): 0034 - 0039
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (375 KB) |  | HTML iconHTML  

    Sensor location uncertainty is known to degrade significantly the source localization accuracy. This paper considers the problem of multiple disjoint sources localization with calibration emitters using time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements. The TDOAs and FDOAs are from unknown sources and calibration emitters. Using a Gaussian noise model, we first derive the Cramér-Rao lower bound (CRLB) for multiple disjoint sources localization with the use of calibration emitters whose locations are also not known exactly. By modeling the calibration location errors as additive Gaussian noise, the amount of reduction in localization accuracy due to calibration location errors is derived through CRLB analysis. The paper then proposes an algebraic closed-form solution for multiple disjoint sources localization using TDOA and FDOA measurements, which are both from unknown sources and calibration emitters. Finally, the algorithm is proved analytically to reach the CRLB accuracy when the sensor and calibration location errors are small. Simulations corroborate the theoretical results and the good performance of the proposed method. View full abstract»

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  • Experiments with autofocus for strip map synthetic aperture radar data

    Publication Year: 2012 , Page(s): 0040 - 0044
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (483 KB) |  | HTML iconHTML  

    In this paper we compare the resulting images using three autofocusing techniques and navigation data from measurements performed from a rooftop rail system with a C-band radar developed at FFI. We describe the system and its characteristics, and we apply the autofocusing techniques to images of a scene containing a corner reflector and other targets. The results show that all autofocusing techniques improve the quality of the images, and the methods using a single prominent point give better results than the more general phase gradient autofocus method. The experiments also show that the measured data can be used to reliably estimate the range displacements of the aperture over the flight path when a fixed point in the scene is used a reference. View full abstract»

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