The proceedings contains 40 papers from the 1996 IEEE International Carnahan conference on Security technology. Topics discussed include: security systems, closed circuit television (CCTV) systems, image processing, s...
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The proceedings contains 40 papers from the 1996 IEEE International Carnahan conference on Security technology. Topics discussed include: security systems, closed circuit television (CCTV) systems, image processing, sensordata fusion, infrared detectors, synergistic radar systems, millimeter wave holography, obstacle avoidance, personnel tracking systems, digital mobile communication systems, interconnection networks, data security, cryptography, fingerprint identification, facial identification, network protocols, access control, intelligent control, annunciator systems, security risk assessment and analysis, intruder detection systems (IDS), police duty scheduling and earthquake prediction systems.
Major developments are now taking place in the integration of remote sensing data with GIS. Techniques such as the use of knowledge based systems and artificial neural networks appear to offer much potential for the e...
Major developments are now taking place in the integration of remote sensing data with GIS. Techniques such as the use of knowledge based systems and artificial neural networks appear to offer much potential for the extraction of improved geographical information from current remotely-sensed satellite imagery. Whilst the use of such techniques offers much promise in environmental monitoring and management, a number of fundamental problems remain such as choice of appropriate data structures, and procedures for handling error and uncertainty. Over the next ten years the complexity of remotely sensed datasets will grow significantly through use of multi-sensor, hyperspectral, and multi-view angle approaches besides use of time series. Current GIS techniques and technology are not appropriate to handle the much increased dimensionality of such datasets and new developments are needed both in visualization tools, and in spatial and temporal analysis tools.
The paper presents concrete algorithm elaborated to estimate object position in three-dimensional space using data obtained from netted monostatic radars with sensor position uncertainty. An influence of this uncertai...
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The paper presents concrete algorithm elaborated to estimate object position in three-dimensional space using data obtained from netted monostatic radars with sensor position uncertainty. An influence of this uncertainty caused by navigation or geodetic errors of radar position determination on object position location accuracy has been examined for short and long range radar *** computational results have been presented and compared with results obtained under classical assumptions that sensor position determination errors do not exist.
Supposing that there are two dissimilar sensor (e.g. radar and infrared detector), a multi-sensordata sequential fusion filter (MSDSFF) has been proposed. For maneuvering target tracking, an interactive acceleration ...
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Supposing that there are two dissimilar sensor (e.g. radar and infrared detector), a multi-sensordata sequential fusion filter (MSDSFF) has been proposed. For maneuvering target tracking, an interactive acceleration compensation (IAC) algorithm has been introduced into the MSDSFF (IAC/MSDSFF). Considering the performance and the computational requirement, the IAC/MSDSFF is an effective approach.
The TRADEX radar at the Kwajalein Missile Range (KMR) introduces a new debris characterization capability to the space surveillance community. A single-sensor debris cataloging capability for small Uncorrelated Target...
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ISBN:
(纸本)0819422010
The TRADEX radar at the Kwajalein Missile Range (KMR) introduces a new debris characterization capability to the space surveillance community. A single-sensor debris cataloging capability for small Uncorrelated Targets (UCTs) was recently demonstrated in a TRADEX Autonomous Catalog Maintenance (TRACM) experiment. The experiment validated a number of new TRADEX space surveillance tools and integrated them with the unique Stare and Chase mode in which TRADEX finds and tracks small UCTs (objects less than 10 cm in diameter) at a rate of one new object per hour. Orbital elements for Stare and Chase acquisitions were determined from recorded track data and were of sufficient quality to permit re-acquisition by TRADEX on subsequent passes. The experimental procedure is described and results are summarized in terms of successful re-tracks for objects maintained in a local proof-of-concept catalog. The catalog was established during the second bah of a two month effort and individual debris objects were cataloged for up to 26 days. Comparison of TRADEX retrack performance for UCTs versus re-track performance for objects already cataloged by the Space Surveillance Network (SSN) are also indicated. Conclusions and recommendations for further work are included.
A general purpose software-based weather system was developed to support various operations at the Kwajalein Missile Range. This system, which was primarily developed for the C-band ALCOR radar, can be easily ported t...
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A general purpose software-based weather system was developed to support various operations at the Kwajalein Missile Range. This system, which was primarily developed for the C-band ALCOR radar, can be easily ported to work at other sensors by changing only the data input routine. The system offers greater flexibility in weather sensing and provides numerous specific features that aid mission planners to making critical go/no-go decisions.
We formulate the sensor alignment problem for multisensordata fusion in the ECEF coordinate system. sensor measurements are mapped to the ECEF coordinate system using geodetic transformation and sensor registration e...
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We formulate the sensor alignment problem for multisensordata fusion in the ECEF coordinate system. sensor measurements are mapped to the ECEF coordinate system using geodetic transformation and sensor registration errors are estimated using the least squares (LS) technique. Real life-radardata are used to evaluate the performance of the proposed technique.
This paper presents a discussion on the feasibility and usefulness of data fusion applied to a suite of dissimilar sensors. This suite comprises surveillance radar, forward looking infrared (FLIR), electronic support ...
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This paper presents a discussion on the feasibility and usefulness of data fusion applied to a suite of dissimilar sensors. This suite comprises surveillance radar, forward looking infrared (FLIR), electronic support measurement (ESM), an interrogation friend and foe (IFF), a synthetic aperture radar (SAR), acoustic sensors and a data link (LINK 11). An analysis of applicable sensor fusion processes is presented followed by a discussion on the expected performance improvements. Finally, a three step incremental approach is proposed with recoverable steps where different level of fusion sophistication can be implemented based on the availability of the technology and the actual status of the sensors.
Methods for the automatic interpretation of complex road traffic scenarios are currently developed on the basis of real measured data. The measurements are performed using a fully polarimetric instrumentation radar at...
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Methods for the automatic interpretation of complex road traffic scenarios are currently developed on the basis of real measured data. The measurements are performed using a fully polarimetric instrumentation radar at 76 GHz. Results of those measurements will be presented, especially with respect to automatic image interpretation. The features of the measurement system are very similar to a prospective automotive radar with the exception of possible Doppler range and physical dimensions. In parallel to the measurement and algorithmic activities, a radarsensor for automotive applications using monolithic integrated millimeter-wave circuits (MMIC) is under development. Real aperture imaging is achieved with a focal plane multibeam array. The most important design criteria are low cost and compactness. System aspects of this radarsensor will be discussed including results of the millimeter-wave circuits.
This paper presents a new method for multisensor tracking of a maneuvering target in dense environment. This is the extension and improvement of the conventional probabilistic data association (PDA). In addition to ra...
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This paper presents a new method for multisensor tracking of a maneuvering target in dense environment. This is the extension and improvement of the conventional probabilistic data association (PDA). In addition to radar measurement, the use of accurate angle data from an infrared (IR) sensor is proposed to improve tracking performance, We propose IR-integrated multiple maneuver model PDA (IM3PDA) filter which combines IR and radarsensordata. The maneuver acceleration is selected from a time invariant set of discrete values and follows a Markov process. In this method, the maneuver of a target increases the prediction covariance as compared with that which is obtained by the standard Kalman filter equations, and so, validation gate size varies automatically with the maneuver of the target. The performance of this method is evaluated in terms of tracking success rates and position estimation accuracy by computer simulation.
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