A Recursive Approach for Adaptive Parameters Selection in a Multifunction Radar
A Recursive Approach for Adaptive Parameters Selection in a Multifunction Radar

Author: Mohammed Saad W. Alahmadi

Publisher:

Published: 2015

Total Pages: 116

ISBN-13:

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A multifunction radar is a modern system that is capable of performing multiple radar functions simultaneously, such as surveillance, target tracking, weather monitoring, etc. This class of radar, multifunction radar (MFR), requires a control function, resource manager, to balance the use of its finite resources among the multiple functions. Hence, the multifunction radar performance is limited by the resource manager intelligent behavior to allocate the system resources. This thesis addresses the challenge of using radar resource management (RRM) to provide the attention element of cognition for radar systems. A recursive form of the radar resource allocation problem is proposed that uses prior knowledge about the target to refine the radar parameters every time the radar revisiting the target. This approach enables the radar system to be more sensitive to the change in the environment and therefore adapt its parameters accordingly.

Radar Techniques Using Array Antennas
Radar Techniques Using Array Antennas

Author: Wulf-Dieter Wirth

Publisher: IET

Published: 2001

Total Pages: 490

ISBN-13: 0852967985

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Wirth (senior consultant, Research Establishment for Applied Science, Germany) introduces the techniques, procedures, and concepts related to modern radar using active array antennas. Chapters cover signal representation and mathematical tools, statistical signal theory, array antennas, beamforming, sampling and digitization of signals, pulse compression with polyphase codes, detection of targets by a pulse series, sequential detection, adaptive beamforming for jammer suppression, monopulse direction estimation, superresolution in angle, space-time adaptive processing, synthetic aperture radar with active phased arrays, inverse synthetic aperture radar, experimental phased array systems, the floodlight radar concept, and system and parameter considerations. Annotation copyrighted by Book News, Inc., Portland, OR

Adaptive Filtering and Change Detection
Adaptive Filtering and Change Detection

Author: Fredrik Gustafsson

Publisher: John Wiley & Sons

Published: 2000-10-03

Total Pages: 520

ISBN-13:

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Adaptive filtering is a branch of digital signal processing which enables the selective enhancement of desired elements of a signal and the reduction of undesired elements. Change detection is another kind of adaptive filtering for non-stationary signals, and is the basic tool in fault detection and diagnosis. This text takes the unique approach that change detection is a natural extension of adaptive filtering, and the broad coverage encompasses both the mathematical tools needed for adaptive filtering and change detection and the applications of the technology. Real engineering applications covered include aircraft, automotive, communication systems, signal processing and automatic control problems. The unique integration of both theory and practical applications makes this book a valuable resource combining information otherwise only available in separate sources Comprehensive coverage includes many examples and case studies to illustrate the ideas and show what can be achieved Uniquely integrates applications to airborne, automotive and communications systems with the essential mathematical tools Accompanying Matlab toolbox available on the web illustrating the main ideas and enabling the reader to do simulations using all the figures and numerical examples featured This text would prove to be an essential reference for postgraduates and researchers studying digital signal processing as well as practising digital signal processing engineers.

MATLAB Simulations for Radar Systems Design
MATLAB Simulations for Radar Systems Design

Author: Bassem R. Mahafza

Publisher: CRC Press

Published: 2003-12-17

Total Pages: 706

ISBN-13: 0203502558

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Simulation is integral to the successful design of modern radar systems, and there is arguably no better software for this purpose than MATLAB. But software and the ability to use it does not guarantee success. One must also: Understand radar operations and design philosophy Know how to select the radar parameters to meet the design req

Introduction to Embedded Systems, Second Edition
Introduction to Embedded Systems, Second Edition

Author: Edward Ashford Lee

Publisher: MIT Press

Published: 2017-01-06

Total Pages: 562

ISBN-13: 0262340526

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An introduction to the engineering principles of embedded systems, with a focus on modeling, design, and analysis of cyber-physical systems. The most visible use of computers and software is processing information for human consumption. The vast majority of computers in use, however, are much less visible. They run the engine, brakes, seatbelts, airbag, and audio system in your car. They digitally encode your voice and construct a radio signal to send it from your cell phone to a base station. They command robots on a factory floor, power generation in a power plant, processes in a chemical plant, and traffic lights in a city. These less visible computers are called embedded systems, and the software they run is called embedded software. The principal challenges in designing and analyzing embedded systems stem from their interaction with physical processes. This book takes a cyber-physical approach to embedded systems, introducing the engineering concepts underlying embedded systems as a technology and as a subject of study. The focus is on modeling, design, and analysis of cyber-physical systems, which integrate computation, networking, and physical processes. The second edition offers two new chapters, several new exercises, and other improvements. The book can be used as a textbook at the advanced undergraduate or introductory graduate level and as a professional reference for practicing engineers and computer scientists. Readers should have some familiarity with machine structures, computer programming, basic discrete mathematics and algorithms, and signals and systems.

Tracking and Kalman Filtering Made Easy
Tracking and Kalman Filtering Made Easy

Author: Eli Brookner

Publisher: Wiley-Interscience

Published: 1998

Total Pages: 512

ISBN-13:

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TRACKING, PREDICTION, AND SMOOTHING BASICS. g and g-h-k Filters. Kalman Filter. Practical Issues for Radar Tracking. LEAST-SQUARES FILTERING, VOLTAGE PROCESSING, ADAPTIVE ARRAY PROCESSING, AND EXTENDED KALMAN FILTER. Least-Squares and Minimum-Variance Estimates for Linear Time-Invariant Systems. Fixed-Memory Polynomial Filter. Expanding- Memory (Growing-Memory) Polynomial Filters. Fading-Memory (Discounted Least-Squares) Filter. General Form for Linear Time-Invariant System. General Recursive Minimum-Variance Growing-Memory Filter (Bayes and Kalman Filters without Target Process Noise). Voltage Least-Squares Algorithms Revisited. Givens Orthonormal Transformation. Householder Orthonormal Transformation. Gram--Schmidt Orthonormal Transformation. More on Voltage-Processing Techniques. Linear Time-Variant System. Nonlinear Observation Scheme and Dynamic Model (Extended Kalman Filter). Bayes Algorithm with Iterative Differential Correction for Nonlinear Systems. Kalman Filter Revisited. Appendix. Problems. Symbols and Acronyms. Solution to Selected Problems. References. Index.