Advances in Adaptive Radar Detection and Range Estimation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Adaptive Radar Detection and Range Estimation write by Chengpeng Hao. This book was released on 2021-12-03. Advances in Adaptive Radar Detection and Range Estimation available in PDF, EPUB and Kindle. This book provides a comprehensive and systematic framework for the design of adaptive architectures, which take advantage of the available a priori information to enhance the detection performance. Moreover, this framework also provides guidelines to develop decision schemes capable of estimating the target position within the range bin. To this end, the readers are driven step-by-step towards those aspects that have to be accounted for at the design stage, starting from the exploitation of system and/or environment information up to the use of target energy leakage (energy spillover), which allows inferring on the target position within the range cell under test.In addition to design issues, this book presents an extensive number of illustrative examples based upon both simulated and real-recorded data. Moreover, the performance analysis is enriched by considerations about the trade-off between performances and computational requirements.Finally, this book could be a valuable resource for PhD students, researchers, professors, and, more generally, engineers working on statistical signal processing and its applications to radar systems.
Advances in Adaptive Radar Detection and Range Estimation
Advances in Adaptive Radar Detection and Range Estimation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Adaptive Radar Detection and Range Estimation write by 郝程鹏. This book was released on 2022. Advances in Adaptive Radar Detection and Range Estimation available in PDF, EPUB and Kindle.
Adaptive Radar Detection and Estimation
Adaptive Radar Detection and Estimation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Adaptive Radar Detection and Estimation write by Simon Haykin. This book was released on 1992-04-15. Adaptive Radar Detection and Estimation available in PDF, EPUB and Kindle. Adaptive processing in a radar environment is necessary due to its inherently nonstable nature. A detailed mathematical treatment of the important issues in adaptive radar detection and estimation is offered. Since much of the material presented has not appeared in book form, you'll find this work fills an important gap in the known literature. Following an overview of the subject, contributors develop model-based techniques for the detection of radar targets in the presence of clutter; discuss minimum variance beamforming techniques; consider maximum likelihood bearing estimation in beamspace for an adaptive phased array radar; present an algorithm for angle-of-arrival estimation; and describe the method of multiple windows for spectrum estimation.
Knowledge Based Radar Detection, Tracking and Classification
Knowledge Based Radar Detection, Tracking and Classification - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Knowledge Based Radar Detection, Tracking and Classification write by Fulvio Gini. This book was released on 2008-06-09. Knowledge Based Radar Detection, Tracking and Classification available in PDF, EPUB and Kindle. Discover the technology for the next generation of radar systems Here is the first book that brings together the key concepts essential for the application of Knowledge Based Systems (KBS) to radar detection, tracking, classification, and scheduling. The book highlights the latest advances in both KBS and radar signal and data processing, presenting a range of perspectives and innovative results that have set the stage for the next generation of adaptive radar systems. The book begins with a chapter introducing the concept of Knowledge Based (KB) radar. The remaining nine chapters focus on current developments and recent applications of KB concepts to specific radar functions. Among the key topics explored are: Fundamentals of relevant KB techniques KB solutions as they apply to the general radar problem KBS applications for the constant false-alarm rate processor KB control for space-time adaptive processing KB techniques applied to existing radar systems Integrated end-to-end radar signals Data processing with overarching KB control All chapters are self-contained, enabling readers to focus on those topics of greatest interest. Each one begins with introductory remarks, moves on to detailed discussions and analysis, and ends with a list of references. Throughout the presentation, the authors offer examples of how KBS works and how it can dramatically improve radar performance and capability. Moreover, the authors forecast the impact of KB technology on future systems, including important civilian, military, and homeland defense applications. With chapters contributed by leading international researchers and pioneers in the field, this text is recommended for both students and professionals in radar and sonar detection, tracking, and classification and radar resource management.
Advanced Radar Detection Schemes Under Mismatched Signal Models
Advanced Radar Detection Schemes Under Mismatched Signal Models - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advanced Radar Detection Schemes Under Mismatched Signal Models write by Francesco Bandiera. This book was released on 2009. Advanced Radar Detection Schemes Under Mismatched Signal Models available in PDF, EPUB and Kindle. Adaptive detection of signals embedded in correlated Gaussian noise has been an active field of research in the last decades. This topic is important in many areas of signal processing such as, just to give some examples, radar, sonar, communications, and hyperspectral imaging. Most of the existing adaptive algorithms have been designed following the lead of the derivation of Kelly's detector which assumes perfect knowledge of the target steering vector. However, in realistic scenarios, mismatches are likely to occur due to both environmental and instrumental factors. When a mismatched signal is present in the data under test, conventional algorithms may suffer severe performance degradation. The presence of strong interferers in the cell under test makes the detection task even more challenging. An effective way to cope with this scenario relies on the use of "tunable" detectors, i.e., detectors capable of changing their directivity through the tuning of proper parameters. The aim of this book is to present some recent advances in the design of tunable detectors and the focus is on the so-called two-stage detectors, i.e., adaptive algorithms obtained cascading two detectors with opposite behaviors. We derive exact closed-form expressions for the resulting probability of false alarm and the probability of detection for both matched and mismatched signals embedded in homogeneous Gaussian noise. It turns out that such solutions guarantee a wide operational range in terms of tunability while retaining, at the same time, an overall performance in presence of matched signals commensurate with Kelly's detector. Table of Contents: Introduction / Adaptive Radar Detection of Targets / Adaptive Detection Schemes for Mismatched Signals / Enhanced Adaptive Sidelobe Blanking Algorithms / Conclusions
