Methods of Signal Processing for Adaptive Antenna Arrays

✍ Scribed by Larysa Titarenko, Alexander Barkalov (auth.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2013
• Tongue: English
• Leaves: 233
• Series: Signals and Communication Technology
• Edition: 1
• Category: Library

✦ Synopsis

So far there does not exist any theory of adaptive spatial signal processing (ASSP) for signals with uncertain parameters. This monograph is devoted to the development of this theory, which is very important in connection with wide spreading of telecommunications and radio links in the modern society. This theory can be applied for the development of effective radio communications. In the book some original approaches are proposed targeting the development of effective algorithms of ASSP with not exactly known parameters. They include both probabilistic and deterministic approaches for synthesis of robust algorithms of ASSP. The solution of problems also can be reduced to the construction of some operators for the Banach space which is presented in the book. “Methods of Signal Processing for Adaptive Antenna Arrays” targets professionals, students and PhD students in the area of telecommunications and should be useful for everybody connected with the new information technologies.

✦ Table of Contents

Front Matter....Pages 1-10
Introduction....Pages 1-3
General Characteristic of Methods for STSP....Pages 5-15
Background of Classical Theory of ASSP....Pages 17-33
Features of ASSP under Different Levels of A-Priori Uncertainty....Pages 35-50
Algorithms of ASSP with Not Exactly Known Parameters....Pages 51-86
Background of ASSP with Not Exactly Known Parameters....Pages 87-138
Synthesis of ASF Algorithms for Not Exactly Known Parameters....Pages 139-166
Algorithms of ASP for Not Exactly Known Parameters....Pages 167-203
Conclusion....Pages 205-207
Back Matter....Pages 0--1

✦ Subjects

Signal, Image and Speech Processing; Communications Engineering, Networks