Improved Multi-Target Time Delay Estimation: Matched Filter Approach


Book Description

This report describes a technique for obtaining unbiased time delay estimates in the presence of interference. The proposed technique utilizes a matched filter concept wherein the anticipated noise-free generalized cross-correlator (GCC) output between two sensors is matched to the actual received noisy output under a least-mean-square error criterion. Separate unbiased estimates of the target power, target time delay, interference power, interference time delay, and noise power are obtained provided the spectral form of the target and interference are known. The performance of this matched parameter estimator (MPE) is evaluated analytically and compared to the conventional estimator and to MPE simulation results as a function of signal-to-noise, interference-to-noise, time delay separation, and signal and interference spectra. In addition, a potential bias error resulting from a mismatched MPE is also evaluated. (Author).




Communications and Networking


Book Description

This two volume set constitutes the refereed proceedings of the 14th EAI International Conference on Communications and Networking, ChinaCom 2019, held in November/December 2019 in Shanghai, China. The 81 papers presented were carefully selected from 162 submissions. The papers are organized in topical sections on Internet of Things (IoT), antenna, microwave and cellular communication, wireless communications and networking, network and information security, communication QoS, reliability and modeling, pattern recognition and image signal processing, and information processing.




Optimum Multisensor, Multitarget Time Delay Estimation


Book Description

This study presents the results of an investigation of the optimum signal processor for passive time delay estimation in a multisensor, multitarget environment. The target-sensor geometry is assumed stationary over the observation time interval. The performance of the optimum processor in terms of Cramer-Rao Lower Bound is presented. The relation between time delay estimation and localization parameter estimation is explored. The derivation of the optimum processor for joint time delay and power spectral estimation is also presented. Methods for improved time delay estimation in the presence of interference are investigated. Finally, a simple analytical expression for the Cramer-Rao Lower Bound for the joint cross-sensor time delay estimate from M sensor arrays is derived. (Author).




Principles and Applications of RELAX: A Robust and Universal Estimator


Book Description

The multiple signal demixing and parameter estimation problems that result from the impacts of background noise and interference are issues that are frequently encountered in the fields of radar, sonar, communications, and navigation. Research in the signal processing and control fields has always focused on improving the estimation performance of parameter estimation methods at low SNR and maintaining the robustness of estimations in the presence of model errors. This book presents a universal and robust relaxation estimation method (RELAX), and introduces its basic principles and applications in the fields of classical line spectrum estimation, time of delay estimation, DOA estimation, and radar target imaging. This information is explained comprehensively and in great detail, and uses metaphors pertaining to romantic relationships to visualize the basic problems of parameter estimation, the basic principles of the five types of classical parameter estimation methods, and the relationships between these principles. The book serves as a reference for scientists and technologists in the fields of signal processing and control, while also providing relevant information for graduate students in the related fields.










Recent Advancements in Radar Imaging and Sensing Technology


Book Description

The aim of this Printed Edition of Special Issue entitled "Recent Advancements in Radar Imaging and Sensing Technology” was to gather the latest research results in the area of modern radar technology using active and/or radar imaging sensing techniques in different applications, including both military use and a broad spectrum of civilian applications. As a result, the 19 papers that have been published highlighted a variety of topics related to modern radar imaging and microwave sensing technology. The sequence of articles included in the Printed Edition of Special Issue dealt with wide aspects of different applications of radar imaging and sensing technology in the area of topics including high-resolution radar imaging, novel Synthetic Apertura Radar (SAR) and Inverse SAR (ISAR) imaging techniques, passive radar imaging technology, modern civilian applications of using radar technology for sensing, multiply-input multiply-output (MIMO) SAR imaging, tomography imaging, among others.




Principles of Modern Radar


Book Description

Principles of Modern Radar: Basic Principles is a comprehensive text for courses in radar systems and technology, a professional training textbook for formal in-house courses and for new hires; a reference for ongoing study following a radar short course and a self-study and professional reference book.







Applied Mathematics, Modeling and Computer Simulation


Book Description

Applied mathematics, together with modeling and computer simulation, is central to engineering and computer science and remains intrinsically important in all aspects of modern technology. This book presents the proceedings of AMMCS 2022, the 2nd International Conference on Applied Mathematics, Modeling and Computer Simulation, held in Wuhan, China, on 13 and 14 August 2022, with online presentations available for those not able to attend in person due to continuing pandemic restrictions. The conference served as an open forum for the sharing and spreading of the newest ideas and latest research findings among all those involved in any aspect of applied mathematics, modeling and computer simulation, and offered an ideal platform for bringing together researchers, practitioners, scholars, professors and engineers from all around the world to exchange the newest research results and stimulate scientific innovation. More than 150 participants were able to exchange knowledge and discuss the latest developments at the conference. The book contains 127 peer-reviewed papers, selected from more than 200 submissions and ranging from the theoretical and conceptual to the strongly pragmatic; all addressing industrial best practice. Topics covered included mathematical modeling and application, engineering applications and scientific computations, and simulation of intelligent systems. The book shares practical experiences and enlightening ideas and will be of interest to researchers and practitioners in applied mathematics, modeling and computer simulation everywhere.