Position location techniques and applications
This book is the definitive guide to the techniques and applications of position location, covering both terrestrial and satellite systems. It gives all the techniques, theoretical models, and algorithms that engineers need to improve their current location schemes and to develop future location al...
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Amsterdam ; Boston :
Academic Press
c2009.
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627375006719 |
Table of Contents:
- Front Cover; Position Location Techniques and Applications; Copyright Page; Contents; Preface; Acknowledgments; About the Authors; Chapter 1. The Position Location Problem; 1.1 The Need for PL and Historical Developments; 1.2 PL Requirements and Limitations; 1.2.1 Resolution; 1.2.2 Fundamental Scenarios for PL; 1.3 Terrestrial and Satellite Scenarios; 1.3.1 Mobility; 1.4 Current and Potential Applications; References; Chapter 2. Signal Parameter Estimation for the Localization Problem; 2.1 AOA Measurements; 2.1.1 The Uniform Linear Array Model; 2.1.2 Cramer Rao Bound for Array Observations
- 2.2 Nonparametric Methods for AOA Estimation2.2.1 Beamscan AOA Estimator; 2.2.2 MVDR AOA Estimator; 2.3 Parametric Methods for AOA Estimation; 2.3.1 Maximum Likelihood AOA Estimator; 2.3.2 MUSIC Algorithm for AOA Estimation; 2.3.3 ESPRIT Algorithm for AOA Estimation; 2.4 TOA and TDOA Measurements; 2.4.1 The Time of Arrival Problem; 2.4.2 The Time Difference of Arrival Problem; 2.4.3 Performance Bound for TOA and TDOA Problems; 2.4.4 Received Signal Model and Its Analogy to the Array Processing Problem; 2.4.5 Generalized Cross-Correlation Method for TOA or TDOA Estimation
- 2.4.6 Conventional PN-Correlation Method2.4.7 A Super-Resolution PN-Correlation Method: The SPM Algorithm; 2.4.8 TOA Estimation by Successive Cancellation; 2.5 Range Estimation Based on Received Signal Strength; 2.6 Received Signal Strength Measurements; 2.6.1 Log-Normal Propagation Model; 2.6.2 ML Estimation of Log-Normal Parameters; 2.6.3 Log-Normal Range Estimator; References; Chapter 3. Location InformationProcessing; 3.1 The Multilateration Problem; 3.2 Geometric Multilateration; 3.2.1 Geometric Multilateration Based on TOA Measurements
- 3.2.2 Geometric Multilateration Based on AOA Measurements3.2.3 Geometric Multilateration Based on TDOA Measurements; 3.3 Statistical Multilateration; 3.3.1 Least-Squares Multilateration; 3.3.2 LS Multilateration with Uncertain Reference Node Positions; 3.3.3 Hybrid Location Estimation Systems; 3.4 Location Estimation in Multihop Scenarios; 3.4.1 Centroid Algorithm; 3.4.2 Approximate Point-in-Triangulation Algorithm; 3.4.3 Ad Hoc Positioning System Algorithms; 3.4.4 Dead-Reckoning; 3.5 Performance Assessment of Location Estimation Systems; 3.5.1 Cramer-Rao Bound
- 3.5.2 Circular Error Probability3.5.3 Geometric Dilution of Precision; References; Chapter 4. Heuristic Approaches to the Position Location Problem; 4.1 Single-Hop and Relational Scenarios; 4.1.1 Range-Free Location Estimation Systems; 4.2 Multihop Scenarios; 4.2.1 Triangle Concatenation; 4.2.2 Random Flight; 4.2.3 Manhattanized Algorithms; 4.2.4 Relational and Fuzzy Approach; 4.3 Conclusions; References; Chapter 5. Terrestrial-Based LocationSystems; 5.1 From Cellular to Reconfigurable Networks; 5.1.1 Cellular Network Scenario; 5.1.2 2G and 3G Technology Review; 5.1.3 4G and Beyond
- 5.1.4 Ad Hoc and Sensor Network Scenarios
