Blind Identification Of Single Input Multiple Output Systems
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Blind Equalization and Identification
Author | : Zhi Ding |
Publisher | : CRC Press |
Total Pages | : 418 |
Release | : 2018-10-08 |
Genre | : Technology & Engineering |
ISBN | : 1482270730 |
This text seeks to clarify various contradictory claims regarding capabilities and limitations of blind equalization. It highlights basic operating conditions and potential for malfunction. The authors also address concepts and principles of blind algorithms for single input multiple output (SIMO) systems and multi-user extensions of SIMO equalization and identification.
Blind Identification and Equalization of Multiple-input Multiple-output Channels by Second Order Statistics
Author | : Yong Xiang |
Publisher | : |
Total Pages | : 292 |
Release | : 2002 |
Genre | : Gaussian processes |
ISBN | : |
Blind Identification of Structured Dynamic Systems
Author | : Chengpu Yu |
Publisher | : Springer Nature |
Total Pages | : 273 |
Release | : 2021-11-22 |
Genre | : Technology & Engineering |
ISBN | : 9811675740 |
This book is intended for researchers active in the field of (blind) system identification and aims to provide new identification ideas/insights for dealing with challenging system identification problems. It presents a comprehensive overview of the state-of-the-art in the area, which would save a lot of time and avoid collecting the scattered information from research papers, reports and unpublished work. Besides, it is a self-contained book by including essential algebraic, system and optimization theories, which can help graduate students enter the amazing blind system identification world with less effort.
Blind Equalization and System Identification
Author | : Chong-Yung Chi |
Publisher | : Springer Science & Business Media |
Total Pages | : 479 |
Release | : 2006-05-20 |
Genre | : Technology & Engineering |
ISBN | : 1846282187 |
The absence of training signals from many kinds of transmission necessitates the widespread use of blind equalization and system identification. There have been many algorithms developed for these purposes, working with one- or two-dimensional signals and with single-input single-output or multiple-input multiple-output, real or complex systems. It is now time for a unified treatment of this subject, pointing out the common characteristics of these algorithms as well as learning from their different perspectives. "Blind Equalization and System Identification" provides such a unified treatment presenting theory, performance analysis, simulation, implementation and applications. This is a textbook for graduate courses in discrete-time random processes, statistical signal processing, and blind equalization and system identification. It contains material which will also interest researchers and engineers working in digital communications, source separation, speech processing, and other, similar applications.
System Identification (SYSID '03)
Author | : Paul Van Den Hof |
Publisher | : Elsevier |
Total Pages | : 2080 |
Release | : 2004-06-29 |
Genre | : Science |
ISBN | : 9780080437095 |
The scope of the symposium covers all major aspects of system identification, experimental modelling, signal processing and adaptive control, ranging from theoretical, methodological and scientific developments to a large variety of (engineering) application areas. It is the intention of the organizers to promote SYSID 2003 as a meeting place where scientists and engineers from several research communities can meet to discuss issues related to these areas. Relevant topics for the symposium program include: Identification of linear and multivariable systems, identification of nonlinear systems, including neural networks, identification of hybrid and distributed systems, Identification for control, experimental modelling in process control, vibration and modal analysis, model validation, monitoring and fault detection, signal processing and communication, parameter estimation and inverse modelling, statistical analysis and uncertainty bounding, adaptive control and data-based controller tuning, learning, data mining and Bayesian approaches, sequential Monte Carlo methods, including particle filtering, applications in process control systems, motion control systems, robotics, aerospace systems, bioengineering and medical systems, physical measurement systems, automotive systems, econometrics, transportation and communication systems *Provides the latest research on System Identification *Contains contributions written by experts in the field *Part of the IFAC Proceedings Series which provides a comprehensive overview of the major topics in control engineering.
Multipath Exploitation for Emitter Localization using Ray-Tracing Fingerprints and Machine Learning
Author | : Marcelo Nogueira de Sousa |
Publisher | : BoD – Books on Demand |
Total Pages | : 270 |
Release | : 2021-01-01 |
Genre | : Technology & Engineering |
ISBN | : 3863602447 |
The precise localization of radio frequency (RF) transmitters in outdoor environments has been an important research topic in various fields for several years. Nowadays, the functionalities of many electronic devices are based on the position data of a radiofrequency transmitter using a Wireless Sensor Network (WSN). Spatially separated sensor scan measure the signal from the transmitter and estimate its location using parameters such as Time Of Arrival (ToA), Time Difference Of Arrival (TDOA), Received Signal Strength (RSS) or Direction Of Arrival (DOA). However, certain obstacles in the environment can cause reflection, diffraction, or scattering of the signal. This so called multipath effect affects the measurements for the precise location of the transmitter. Previous studies have discarded multipath information and have not considered it valuable for locating the transmitter. Some studies used ray tracing (RT) to create position fingerprints, without reference measurements, in a simulated scenario. Others tested this concept with real measurement data, but this proved to be a more cumbersome method due to practical problems in the outdoor environment. This thesis exploits the concept of Channel Impulse Response (CIR) to address the problem of precision in outdoor localization environments affected by multipath. The study aims to fill the research gap by combining multipath information from simulation with real measurements in a machine learning framework. The research question was whether the localization could be improved by combining real measurements with simulations. We propose a method that uses the multipath fingerprint information from RT simulation with reference transmitters to improve the location estimation. To validate the effectiveness of the proposed method, we implemented a TDoA location system enhanced with multipath fingerprints in an outdoor scenario. This thesis investigated suburban and rural areas using well-defined reflective components to characterize the localization multipath pattern. The results confirm the possibility of using multipath effects with real measurements to enhance the localization in outdoor situations. Instead of rejecting the multipath information, we can use them as an additional source of information.
Multichannel Blind Estimation Techniques
Author | : Kamran Rahbar |
Publisher | : |
Total Pages | : 302 |
Release | : 2002 |
Genre | : Adaptive signal processing |
ISBN | : |
The focus of this thesis is on blind identification techniques for multi-input, multi-output (MIMO) systems. In this respect we study three problems: (1) & nbsp; The joint diagonalization problem. Joint diagonalization is an efficient tool for blind identification techniques for MIMO systems. In this thesis we discuss new adaptive joint orthogonal diagonalization algorithms based on optimization methods over the Stiefel manifold. (2) & nbsp;Blind identification of MIMO systems. We demonstrate that by using the second-oder statistics of the system outputs, by exploiting the non-stationarity of sources, and some mild conditions on the sources and the system, the impulse response of the MIMO system can be identified up to an inherent scaling and permutation ambiguity. An efficient two-step frequency domain algorithm for identifying the MIMO system then has been proposed. Numerical simulations verify the theoretical results and the performance of the new algorithm. (3) & nbsp; Real room blind source separation problem. The final part of the thesis focuses on the practical problem of blind source separation of mixed audio signals in a real room. The new proposed algorithm exploits the non-stationarity of audio signals to separate them from their mixtures recorded in a reverberant environment. This method has successfully been applied to real data acquired during extensive recording experiments done in different office rooms on the McMaster campus.
Adaptive Signal Processing
Author | : Jacob Benesty |
Publisher | : Springer Science & Business Media |
Total Pages | : 366 |
Release | : 2013-03-09 |
Genre | : Technology & Engineering |
ISBN | : 3662110288 |
For the first time, a reference on the most relevant applications of adaptive filtering techniques. Top researchers in the field contributed chapters addressing applications in acoustics, speech, wireless and networking, where research is still very active and open.
Communication Technologies for Vehicles
Author | : Marion Berbineau |
Publisher | : Springer |
Total Pages | : 264 |
Release | : 2013-12-11 |
Genre | : Computers |
ISBN | : 3642379745 |
This book constitutes the joint refereed proceedings of the 5th International Workshop on Communication Technologies for Vehicles/Trains, Nets4Cars 2013 and Nets4Trains 2013, held in Vilnius, Lithuania, in May 2013. The 12 full papers of the road track and 5 full papers of the rail track presented together with 3 invited talks were carefully reviewed and selected from 24 submissions. They address topics such as intra-vehicle, inter-vehicle and vehicle to infrastructure communications (protocols and standards), mobility and traffic models (models, methodologies, and techniques), testing, and applications.