Classical and Modern Direction-of-Arrival Estimation

1. Wireless Direction-Finding Fundamentals
Benjamin Friedlander

1.1. Introduction

1.2. Problem Formulation

1.3. Direction-Finding Algorithms

1.4. Direction-Finding Accuracy

1.5. Multipath and Co-Channel Interference

1.6. Direction Finding for Multiple Co-Channel Emitters

1.7. Discussion

2. Practical Aspects of Design and Application of Direction-Finding Systems
Franz Demmel

2.1. Introduction

2.2. Application of Direction-Finding Systems

2.3. Typical System Design—Overview

2.4. Performance Parameters

2.5. Antenna Array Design

2.6. Number of Antenna Elements and Processing Channels

2.7. Multichannel Receivers

2.8. Wideband Direction Finding

2.9. Implementation Aspects of High-Resolution Direction Finding

2.10. Error Sources

2.11. Test and Measurement Procedures

3. Calibration in Array Processing
Mats Viberg, Maria Lanne, Astrid Lundgren

3.1. Introduction

3.2. Data and Error Models

3.3. Direction-of-Arrival Estimation

3.4. Auto-Calibration Techniques

3.5. Calibration Using Sources at Known Positions

3.6. Array Interpolation Techniques

3.7. Comparison of Approaches

3.8. Conclusion

4. Narrowband and Wideband DOA Estimation for Uniform and Nonuniform Linear Arrays
T. Engin Tuncer, T. Kaya Yasar, Benjamin Friedlander

4.1. Introduction

4.2. Array Models

4.3. Narrowband Direction-of-Arrival Estimation

4.4. Wideband Direction-of-Arrival Estimation

4.5. Conclusion

5. Search-Free DOA Estimation Algorithms for Nonuniform Sensor Arrays
Michael Rübsamen, Alex B. Gershman

5.1. Introduction

5.2. Background

5.3. Search-Free Methods for Specific Array Structures

5.4. Search-Free Methods for Arbitrary Arrays

5.5. Simulation Results

5.6. Conclusion

6. Spatial Time-Frequency Distributions and DOA Estimation
Moeness Amin, Yimin Zhang

6.1. Introduction

6.2. Time-Frequency Distribution

6.3. Spatial Time-Frequency Distribution

6.4. Time-Frequency DOA Estimation Techniques

6.5. Polarimetric Time-Frequency DOA Estimation

6.6. The Spatial Ambiguity Function and Applications to DOA Estimation

6.7. Wideband DOA Estimation

6.8. Time-Frequency Points

6.9. Conclusion

7. DOA Estimation in the Small-Sample Threshold Region
Yuri I. Abramovich, Ben A. Johnson, Xavier Mestre

7.1. Introduction

7.2. DOA Estimation in the Threshold Region

7.3. Expected Likelihood Formulations

7.4. Use of Expected Likelihood in the MUSIC Threshold Region

7.5. Subspace Swap and MUSIC Performance Breakdown

7.6. Subspace Swap and MLE Performance Breakdown

7.7. Conclusion

8. High-Resolution DOA Estimation with Higher-Order Statistics
Pascal Chevalier, Anne Ferréol, Laurent Albera

8.1. Introduction

8.2. Observation Model and Data Statistics

8.3. The 2q-MUSIC Method

8.4. 2q-MUSIC Identifiability

8.5. 2q-MUSIC Performance

8.6. Computer Simulations

8.7. Extension to Arrays with Diversely Polarized Antennas: The PD-2q-MUSIC Methods

8.8. Conclusion

9. Source and Node Localization in Sensor Networks
Chiao-En Chen, Kung Yao

9.1. Introduction

9.2. Source Localization Methods Applied to Sensor Networks

9.3. Node Localization Methods Applied to Sensor Networks

9.4. Source Localization Applications Using Sensor Networks

10. Direct Position Determination: A Single-Step Emitter Localization Approach
Alon Amar, Anthony J.Weiss

10.1. Background

10.2. Localization for Stationary Geometry

10.3. Localization for Nonstationary Geometry

10.4. Two-Step versus One-Step Localization

10.5. Conclusion