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Aerospace and Electronic Systems Magazine, IEEE

Issue 3 • Date March 2005

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Displaying Results 1 - 17 of 17
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  • Correspondence

    Page(s): 0_2 - 34
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  • Improved imaging for X-ray inspection systems

    Page(s): 23 - 28
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    A number of advancements for X-ray inspection systems have recently been implemented in the image presented to the operator. Advances in the use of color and image fusion techniques have been developed to maximize the information available in the initial view shown on the monitor. Different techniques are appropriate depending upon the size of the inspection item. Inspection of checked and carry-on baggage requires imaging methods that would not be appropriate for use on larger, more complex objects such as cargo containers or whole trucks. Color-coded presentation of CT images of baggage imposes yet other demands. Comparative images and analyses are presented to support choices for imaging on L-3 Communications systems in terms of the conflicting requirements of cost, sensitivity, resolution, and penetration. A number of enhancements are available to the operator and their influence on system performance is explored. Some experimental enhancements are demonstrated and their trade-offs discussed. The imaging system is ultimately based on hardware, and the choice of detectors, amplifiers, and sampling methods plays an important role in overall performance. Image degradation can be caused by deficiencies in the imaging hardware. Effects such as detector cross-talk and afterglow will negatively impact system performance. Recognition of these factors and steps to mitigate them are discussed. The effect of X-ray source choices such as beam voltage, milliamps, and sampling rate has a direct influence on the image quality and bag dose. Results of theoretical modeling as well as results on actual systems are presented. For a given bag dose, the trade-off between sensitivity, resolution, and penetration are considered. Possibilities for future advancements in imaging for X-ray inspection systems are explored. View full abstract»

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  • The Lamont Cranston effect, Harry Potter's cloak, and other forms of invisibility

    Page(s): 3 - 7
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    This paper reviews several schemes for hiding objects from observation, in both fiction and fact. It uses a calculation by Tyutekin, et al. to remind readers that complete invisibility is, in fact, theoretically possible, and lists some of the practical realities that get in the way. Stealth aircraft are briefly mentioned. View full abstract»

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  • Student Membership Application

    Page(s): 47
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  • Online INS/GPS integration with a radial basis function neural network

    Page(s): 8 - 14
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    Most of the present navigation systems rely on Kalman filtering to fuse data from global positioning system (GPS) and the inertial navigation system (INS). In general, INS/GPS integration provides reliable navigation solutions by overcoming each of their shortcomings, including signal blockage for GPS and growth of position errors with time for INS. Present Kalman filtering INS/GPS integration techniques have some inadequacies related to the stochastic error models of inertial sensors, immunity to noise, and observability. This paper aims to introduce a multi-sensor system integration approach for fusing data from INS and GPS utilizing artificial neural networks (ANN). A multi-layer perceptron ANN has been recently suggested to fuse data from INS and differential GPS (DGPS). Although being able to improve the positioning accuracy, the complexity associated with both the architecture of multi-layer perceptron networks and its online training algorithms limit the real-time capabilities of this technique. This article, therefore, suggests the use of an alternative ANN architecture. This architecture is based on radial basis function (RBF) neural networks, which generally have simpler architecture and faster training procedures than multi-layer perceptron networks. The INS and GPS data are first processed using wavelet multi-resolution analysis (WRMA) before being applied to the RBF network. The WMRA is used to compare the INS and GPS position outputs at different resolution levels. The RBF-ANN module is then trained to predict the INS position errors and provide accurate positioning of the moving platform. Field-test results have demonstrated that substantial improvement in INS/GPS positioning accuracy could be obtained by applying the combined WRMA and RBF-ANN modules. View full abstract»

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  • IEEE Aerospace and Electronic Magazine

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  • Table of contents

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  • In this issue - technically

    Page(s): 2
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  • Obituary: Louis Brown

    Page(s): 41
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  • IEEE Aerospace & Electronic Systems Society Organization

    Page(s): 42
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  • 2nd International Conference on Recent Advances in Space Technologies Space in the Service Society

    Page(s): 43
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  • Distinguished Lecturers Program

    Page(s): 44
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  • Intenational Radar Symposium India - 2005 - Call for papers

    Page(s): 45
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  • AESS Meetings & Conferences

    Page(s): 50
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Aims & Scope

The IEEE Aerospace and Electronic Systems Magazine publishes articles and tutorials concerned with the various aspects of systems for space, air, ocean, or ground environments.

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Editor-in-Chief
Teresa Pace, PhD EE
Chief Engineer SenTech
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