Adaptive Radar Signal Processing / Edition 1

Hardcover (Print)
Buy New
Buy New from
Used and New from Other Sellers
Used and New from Other Sellers
from $73.50
Usually ships in 1-2 business days
(Save 43%)
Other sellers (Hardcover)
  • All (7) from $73.50   
  • New (4) from $94.51   
  • Used (3) from $73.50   


This collaborative work presents the results of over twenty years of pioneering research by Professor Simon Haykin and his colleagues, dealing with the use of adaptive radar signal processing to account for the nonstationary nature of the environment. These results have profound implications for defense-related signal processing and remote sensing. References are provided in each chapter guiding the reader to the original research on which this book is based.

Read More Show Less

Product Details

  • ISBN-13: 9780471735823
  • Publisher: Wiley
  • Publication date: 11/10/2006
  • Edition number: 1
  • Pages: 248
  • Product dimensions: 6.44 (w) x 9.35 (h) x 0.87 (d)

Meet the Author

SIMON HAYKIN, PhD, is Distinguished University Professor in the Department of Electrical and Computer Engineering at McMaster University. He has pioneered signal-processing techniques and systems for radar and communication applications, and authored several acclaimed textbooks. Dr. Haykin has received numerous awards for his research including Honorary Doctor of Technical Sciences from ETH Zurich, Switzerland, and the first International Union of Radio Science Henry Booker Gold Medal.

Read More Show Less

Table of Contents


Contributors List.

1. Introduction (Simon Haykin).

Experimental Radar Facilities.

Organization of the Book.

Part I Radar Spectral Analysis.

2. Angle-of-Arrival Estimation in the Presence of Multipath (Anastasios Drosopoulos and Simon Haykin).

2.1 Introduction.

2.2 The Low-Angle Tracking Radar Problem.

2.3 Spectrum Estimation Background.

2.3.1 The Fundamental Equation of Spectrum Estimation.

2.4 Thomson’s Multi-Taper Method.

2.4.1 Prolate Spheroidal Wavefunctions and Sequences.

2.5 Test Dataset and a Comparison of Some Popular Spectrum Estimation Procedures.

2.5.1 Classical Spectrum Estimation.

2.5.2 MUSIC and MFBLP.

2.6 Multi-taper Spectrum Estimation.

2.6.1 The Adaptive Spectrum.

2.6.2 The Composite Spectrum.

2.6.3 Computing the Crude, Adaptive, and Composite Spectra.

2.7 F-Test for the Line Components.

2.7.1 Brief Outline of the F-Test.

2.7.2 The Point Regression Single-Line F-Test.

2.7.3 The Integral Regression Single-Line F-Test.

2.7.4 The Point Regression Double-Line F-Test .

2.7.5 The Integral Regression Double-Line F-Test.

2.7.6 Line Component Extraction.

2.7.7 Prewhitening.

2.7.8 Multiple Snapshots.

2.7.9 Multiple Snapshot, Single-Line, Point-Regression F-Tests.

2.7.10 Multiple-Snapshot, Double-Line Point-Regression F-Tests.

2.8 Experimental Data Description for a Low-Angle Tracking Radar Study.

2.9 Angle-of-Arrival (AOA) Estimation.

2.10 Diffuse Multipath Spectrum Estimation.

2.11 Discussion.


3. Time–Frequency Analysis of Sea Clutter (David J. Thomson and Simon Haykin).

3.1 Introduction.

3.2 An Overview of Nonstationary Behavior and Time–Frequency Analysis.

3.3 Theoretical Background on Nonstationarity.

3.3.1 Multi-taper Estimates.

3.3.2 Spectrum Estimation as an Inverse Problem.

3.4 High-Resolution Multi-taper Spectrograms.

3.4.1 Nonstationary Quadratic-Inverse Theory.

3.4.2 Multi-taper Estimates of the Loève Spectrum.

3.5 Spectrum Analysis of Radar Signals.

3.6 Discussion.

3.6.1 Target Detection Rooted in Learning.


Part II Dynamic Models.

4. Dynamics of Sea Clutter (Simon Haykin, Rembrandt Bakker, and Brian Currie).

4.1 Introduction.

4.2 Statistical Nature of Sea Clutter: Classical Approach.

4.2.1 Background.

4.2.2 Current Models.

4.3 Is There a Radar Clutter Attractor?

4.3.1 Nonlinear Dynamics.

4.3.2 Chaotic Invariants.

4.3.3 Inconclusive Experimental Results on the Chaotic Invariants of Sea Clutter.

4.3.4 Dynamic Reconstruction.

4.3.5 Chaos, a Self-Fulfi lling Prophecy?

4.4 Hybrid AM/FM Model of Sea Clutter.

4.4.1 Radar Return Plots.

4.4.2 Rayleigh Fading.

4.4.3 Time-Doppler Spectra.

4.4.4 Evidence for Amplitude Modulation, Frequency Modulation, and More.

4.4.5 Modeling Sea Clutter as a Nonstationary Complex Autoregressive  Process.

4.5 Discussion.

4.5.1 Nonlinear Dynamics of Sea Clutter.

4.5.2 Autoregressive Modeling of Sea Clutter.

4.5.3 State-Space Theory.

4.5.4 Nonlinear Dynamical Approach Versus Classical Statistical Approach.

4.5.5 Stochastic Chaos.


Appendix A Specifi cations of the Three Sea-Clutter Sets Used in This Chapter.

5. Sea-Clutter Nonstationarity: The Infl uence of Long Waves (Maria Greco and Fulvio Gini).

5.1 Introduction.

5.2 Radar and Data Description.

5.3 Statistical Data Analyses.

5.4 Modulation of Long Waves: Hybrid AM/FM Model.

5.5 Nonstationary AR Model.

5.6 Parametric Analysis of Texture Process.

5.7 Discussion.

5.7.1 Autoregressive Modeling of Sea Clutter.

5.7.2 Cyclostationarity of Sea Clutter.


6. Two New Strategies for Target Detection in Sea Clutter (Rembrandt Bakker, Brian Currie, and Simon Haykin).

6.1 Introduction.

6.2 Bayesian Direct Filtering Procedure.

6.2.1 Single-Target Scenario.

6.2.2 Conditioning on Past and Future Measurements.

6.3 Operational Details.

6.3.1 Experimental Data.

6.3.2 Statistics of Sea Clutter.

6.3.3 Statistics of Target Returns.

6.3.4 Motion Model of the Target.

6.4 Experimental Results on the Bayesian Direct Filter.

6.5 Additional Notes on the Bayesian Direct Filter.

6.6 Correlation Anomally Detection Strategy.

6.7 Experimental Comparison of the Bayesian Direct Filter and Correlation Anomaly Receiver.

6.7.1 Target-to-Interference Ratio.

6.7.2 Receiver Comparison.

6.8 Discussion.

6.8.1 Further Research.



Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star


4 Star


3 Star


2 Star


1 Star


Your Rating:

Your Name: Create a Pen Name or

Barnes & Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation


  • - By submitting a review, you grant to Barnes & and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Terms of Use.
  • - Barnes & reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)