Array Signal Processing
This book is intended as an introduction to array signal process ing, where the principal objectives are to make use of the available multiple sensor information in an efficient manner to detect and possi bly estimate the signals and their parameters present in the scene. The advantages of using a...
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| Format: | eBook |
| Language: | English |
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New York, NY
Springer New York
1989, 1989
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| Edition: | 1st ed. 1989 |
| Series: | Signal Processing and Digital Filtering
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 1 Introduction
- 1.1 Introduction
- 1.2 Organization of the Book
- 1.3 Notations and Preliminaries
- 2 Detection of Multiple Signals
- 2.1 Signals and Noise
- 2.2 Conventional Techniques
- 2.3 Eigenvector-Based Techniques
- 2.4 Augmentation and Other Techniques
- Appendix 2.A Coherent and Correlated Signal Scene
- Appendix 2.B Program Listings
- Problems
- References
- 3 Performance Analysis
- 3.1 Introduction
- 3.2 The Maximum Likelihood Estimate of the Covariance Matrix and Some Related Distributions
- 3.3 Performance Analysis of Covariance Based Eigenvector Techniques: MUSIC and Spatial Smoothing Schemes
- 3.4 Performance Evaluation of GEESE Scheme
- 3.5 Estimation of Number of Signals
- Appendix 3.A The Complex Wishart Distribution
- Appendix 3.B Equivalence of Eigenvectors
- Appendix 3.C Eigenparameters in a Two Source Case
- Problems
- References
- 4 Estimation of Multiple Signals
- 4.1 Introduction
- 4.2 Optimum Processing: Steady State Performance and the Wiener Solution
- 4.3 Implementation of the Wiener Solution
- Problems
- References