Classical and Modern Direction-of-Arrival Estimation

Classical and Modern Direction-of-Arrival Estimation, 1st Edition

Classical and Modern Direction-of-Arrival Estimation, 1st Edition,T. Engin Tuncer,Benjamin Friedlander,ISBN9780123745248

Tuncer   &   Friedlander   

Academic Press




234 X 155

The only book to give an accessible and comprehensive introduction to both classical and modern direction–of-arrival estimation methods

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Key Features

  • Brings together in one book classical and modern DOA techniques, showing the connections between them
  • Contains contributions from the leading people in the field
  • Gives a concise and easy- to- read introduction to the classical techniques
  • Evaluates the strengths and weaknesses of key super-resolution techniques
  • Includes applications to sensor networks


Classical and Modern Direction of Arrival Estimation contains both theory and practice of direction finding by the leading researchers in the field. This unique blend of techniques used in commercial DF systems and state-of-the art super-resolution methods is a valuable source of information for both practicing engineers and researchers. Key topics covered are:

  • Classical methods of direction finding
  • Practical DF methods used in commercial systems
  • Calibration in antenna arrays
  • Array mapping, fast algorithms and wideband processing
  • Spatial time-frequency distributions for DOA estimation
  • DOA estimation in threshold region
  • Higher order statistics for DOA estimation
  • Localization in sensor networks and direct position estimation


Signal processing researchers, R&D engineers, systems designers and implementers and graduate students.

T. Engin Tuncer

Temel Engin Tuncer is a Professor in Electrical and Electronics Engineering Department of Middle East Technical University, Ankara, Turkey. His research is focused on sensor array and multichannel signal processing, statistical signal processing and communications. He has a comprehensive experience in direction finding and localization systems. His recent research focuses on beamforming in multi-antenna wireless systems. He is currently the director of the Sensor Array and Multichannel Signal Processing Laboratory in METU and also acts as the general manager of a company, ATARGET, that he has founded.

Benjamin Friedlander

Ben Friedlander is an internationally known expert in the areas of statistical signal processing and its applications to communications and surveillance systems. He has extensive experience spanning over three decades in array processing and direction finding. In recent years his work focused on the use of multiple antennas for wireless communications. Currently he is a professor of electrical engineering at the University of California at Santa Cruz.

Classical and Modern Direction-of-Arrival Estimation, 1st Edition

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


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