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Author:
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Category :
Languages : en
Pages : 61
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Book Description
This report describes a track-to-track fusion algorithm for airborne surveillance systems employing multiple dissimilar sensors (radar, LR, and laser radar). These sensors detect targets and create tracks at different data rates. The algorithm presented performs synchronization by predicting the slower tracks to the update times of the faster tracks. The synchronized tracks are then tested for association to determine whether or not the two tracks originated from the same target. It is shown that the probability distribution of correct track association can be improved if the test statistic for association incorporates cross-covariance between the two tracks. A recursive algorithm for computing the cross-covariance is obtained. In addition, a trade-off study involving the probability of correct association, number of track matching points, size of association gate, and probability of false correlation has been prepared. These algorithms are coded in MATLAB and the results of simulations confirming the proof of concept are also presented.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 61
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Book Description
This report describes a track-to-track fusion algorithm for airborne surveillance systems employing multiple dissimilar sensors (radar, LR, and laser radar). These sensors detect targets and create tracks at different data rates. The algorithm presented performs synchronization by predicting the slower tracks to the update times of the faster tracks. The synchronized tracks are then tested for association to determine whether or not the two tracks originated from the same target. It is shown that the probability distribution of correct track association can be improved if the test statistic for association incorporates cross-covariance between the two tracks. A recursive algorithm for computing the cross-covariance is obtained. In addition, a trade-off study involving the probability of correct association, number of track matching points, size of association gate, and probability of false correlation has been prepared. These algorithms are coded in MATLAB and the results of simulations confirming the proof of concept are also presented.
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Category :
Languages : en
Pages : 13
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Book Description
This paper proposes a new multi-sensor track fusion model. The widely used multisensor track fusion model is based on the Extended Kalman Tracker whereas the new fusion model is based on the alpha beta gamma tracker. This new technology will integrate multi-sensor information and extract integrated multi-sensor information to detect, track and identify multiple targets at any time, in any place under all weather conditions. This technology can be applied to the development of fighter aircraft and also to the development of aircraft for Command, Control, Communication and Computer and Information, Surveillance and Reconnaissance (C4ISR). This technology will help to protect our Homeland and finally control and destroy any enemy who dares to challenge us from the air, land or the sea. The advantage of this new Multi-Sensor Track Fusion Model over the currently used Multi-Sensor Track Fusion Model is that it is mathematically simpler. The algorithm needs no matrix inversion and no matrix element divide-by-zero. This means it is easier to implement and there will be no mid-air computer shut down or system crash. The architecture of the new Multi-Sensor Track Fusion Model includes Multi-Sensors such as radar, electronic warfare, the digital signal processor, the alpha beta gamma tracker, the multi-sensor correlation processor, the vehicle interface unit, and the flight crew. The ultimate goal of this new Multi-Sensor Track Fusion Model is to generate fused tracks from all sensor trackers, and integrate all sensor information to provide the pilot and the C4ISR headquarters with time critical target information. Finally this new integration will help establish the air, land and sea superiority on the battlefield.
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Category : Guided missiles
Languages : en
Pages : 312
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Book Description
Resumé på fransk.
Author: Xin Tian
Publisher:
ISBN:
Category : Tracking radar
Languages : en
Pages : 414
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Book Description
Author: Anthony K. Hyder
Publisher: Springer Science & Business Media
ISBN: 9401005567
Category : Computers
Languages : en
Pages : 929
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Book Description
For some time, all branches of the military have used a wide range of sensors to provide data for many purposes, including surveillance, reconnoitring, target detection and battle damage assessment. Many nations have also attempted to utilise these sensors for civilian applications, such as crop monitoring, agricultural disease tracking, environmental diagnostics, cartography, ocean temperature profiling, urban planning, and the characterisation of the Ozone Hole above Antarctica. The recent convergence of several important technologies has made possible new, advanced, high performance, sensor based applications relying on the near-simultaneous fusion of data from an ensemble of different types of sensors. The book examines the underlying principles of sensor operation and data fusion, the techniques and technologies that enable the process, including the operation of 'fusion engines'. Fundamental theory and the enabling technologies of data fusion are presented in a systematic and accessible manner. Applications are discussed in the areas of medicine, meteorology, BDA and targeting, transportation, cartography, the environment, agriculture, and manufacturing and process control.
Author: Kenneth Stavish
Publisher:
ISBN:
Category :
Languages : en
Pages : 186
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Book Description
The objective of a data fusion process is to combine data from multiple sources in order to produce an output that has a greater total effect than any one source. Data fusion is applied to tracking algorithms in order to increase the accuracy of aviation surveillance systems. There are previous studies published about this application of data fusion; however, the Air Traffic Control industry is in a transitional phase in which the current means of collecting surveillance data through a network of radar systems is to be replaced by the Automatic Dependent Surveillance-Broadcast (ADS-B) system, which utilizes the Olobal Positioning System (GPS) for tracking data. This work considers data fusion techniques to blend radar and ADS-B data. A program to simulate an Air Traffic Control environment is presented in this research for the purpose of expanding the database of human knowledge with regard to sensor models and a platform to evaluate data fusion. Finally, this work presents the implementation and evaluation of data fusion using the well known Kalman filter algorithm.
Author: David Hall
Publisher: CRC Press
ISBN: 1420038540
Category : Technology & Engineering
Languages : en
Pages : 564
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Book Description
The emerging technology of multisensor data fusion has a wide range of applications, both in Department of Defense (DoD) areas and in the civilian arena. The techniques of multisensor data fusion draw from an equally broad range of disciplines, including artificial intelligence, pattern recognition, and statistical estimation. With the rapid evolut
Author: Bruno Siciliano
Publisher: Springer
ISBN: 3319325523
Category : Technology & Engineering
Languages : en
Pages : 2259
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Book Description
The second edition of this handbook provides a state-of-the-art overview on the various aspects in the rapidly developing field of robotics. Reaching for the human frontier, robotics is vigorously engaged in the growing challenges of new emerging domains. Interacting, exploring, and working with humans, the new generation of robots will increasingly touch people and their lives. The credible prospect of practical robots among humans is the result of the scientific endeavour of a half a century of robotic developments that established robotics as a modern scientific discipline. The ongoing vibrant expansion and strong growth of the field during the last decade has fueled this second edition of the Springer Handbook of Robotics. The first edition of the handbook soon became a landmark in robotics publishing and won the American Association of Publishers PROSE Award for Excellence in Physical Sciences & Mathematics as well as the organization’s Award for Engineering & Technology. The second edition of the handbook, edited by two internationally renowned scientists with the support of an outstanding team of seven part editors and more than 200 authors, continues to be an authoritative reference for robotics researchers, newcomers to the field, and scholars from related disciplines. The contents have been restructured to achieve four main objectives: the enlargement of foundational topics for robotics, the enlightenment of design of various types of robotic systems, the extension of the treatment on robots moving in the environment, and the enrichment of advanced robotics applications. Further to an extensive update, fifteen new chapters have been introduced on emerging topics, and a new generation of authors have joined the handbook’s team. A novel addition to the second edition is a comprehensive collection of multimedia references to more than 700 videos, which bring valuable insight into the contents. The videos can be viewed directly augmented into the text with a smartphone or tablet using a unique and specially designed app. Springer Handbook of Robotics Multimedia Extension Portal: http://handbookofrobotics.org/
Author: Wen-dong Geng
Publisher: Springer
ISBN: 981101888X
Category : Technology & Engineering
Languages : en
Pages : 175
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Book Description
This book describes grouping detection and initiation; group initiation algorithm based on geometry center; data association and track continuity; as well as separate-detection and situation cognition for group-target. It specifies the tracking of the target in different quantities and densities. At the same time, it integrates cognition into the application. Group-target Tracking is designed as a book for advanced-level students and researchers in the area of radar systems, information fusion of multi-sensors and electronic countermeasures. It is also a valuable reference resource for professionals working in this field.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 19
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Book Description
The Multi-Spectral Sensor Surveillance System (M4S) is a multi-year ONR-sponsored program to transition mature sensor and data fusion technology into existing and/or near-future airborne surveillance platforms. A study phase and on-board sensor data fusion concept-of-proof demonstration have been completed in 1997. This paper describes the data fusion concepts, architecture, and algorithms that have been designed and demonstrated in these efforts. The data fusion architecture selected for M4S is a distributed design in which each on-board sensor subsystem is equipped with a single-sensor tracking unit satisfying all the sensor-specific tracking needs in addition to required sensor data processing capability. Thus scan-to-scan, or frame-to-frame correlation is basically resolved on a single-sensor basis, and the outputs of each sensor-subsystem are typically single sensor tracks, or tracklets, i.e., stochastically independent fractions of tracks. Those outputs are then fed into a centralized multi-sensor, data fusion process that performs track-to-track association analysis and fuses appropriate single-sensor tracks into multiple-sensor tracks. In this way, each sensor sub-system provides target information complementary to each other as well as reinforcing each other, in terms of both target identification and target localization, so that the central data fusion process may produce a best picture of each target of interest. This system architecture also allows each sensor-specific tracker to temporarily lose hold of some targets but to re-acquire them later, yet to maintain continuous target recognition. This data fusion process is also connected, through an external communication network, to off-board intelligence and surveillance sources, such as Rivet Joint, AWACS, U2, JSTARS, etc., to provide the system with a complete tactical picture.
