Waveform Diversity: Theory & Applications: Theory & Application / Edition 1

by S Unnikrishna Pillai, Braham Himed, Ke Yong Li, Ivan Selesnick

Overview

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

Optimum design can improve signal direction, interference, and noise suppression across various disciplines that utilize waveforms, including radar, sonar, and communications. Waveform Diversity explains the role of transmitter and receiver waveform design to boost overall performance. Written by experts in the field, this monograph covers joint transmitter receiver design, optimum design methods, constant envelope transmit signals, and sparsity-based receivers. Proven methods for mitigating noise and clutter and maximizing output signal power are included in this practical guide.

Waveform Diversity covers:

• Waveform design and matched filtering
• New methods for optimum transmitter and receiver design
• Transmitter threshold energy and energy-bandwidth tradeoff
• Increasing transmit power efficiency with constant envelope transmit signals
• Optimum waveform design to reduce noise and clutter
• Discrete-time waveform design
• Sparsity-based receiver design methods

Product Details

ISBN-13:	9780071622899
Publisher:	McGraw Hill LLC
Publication date:	04/22/2011
Pages:	320
Product dimensions:	6.30(w) x 9.30(h) x 0.85(d)

About the Author

S. Unnikrishna Pillai is a Professor of Electrical and Computer Engineering at Polytechnic Institute of NYU. His research interests include radar signal processing, blind identification, spectrum estimation, data recovery, and waveform diversity. Dr. Pillai is the coauthor of Space Based Radar.

Ke Yong Li is a senior engineer at C & P Technolliges, Inc. His areas of research include space-time adaptive processing (STAP), waveform diversity, and radar signal processing. Li is the coauthor of Space Based Radar.

Ivan Selesnick is an Associate Professor of Electrical and Computer engineering at Polytechnic Institute of NYU. His current research interests are in the areas of digital signal and image processing, wavelet and sparsity based methods for signal restoration, and biomedical signal processing.

Braham Himed is a Principal Electronics Engineer at the U.S. Air Force Research Laboratory, Radar Signal Processing Branch, Sensors Directorate. His research interests include radar signal processing, detection, estimation, multichannel adaptive processing, time series analysis, and array processing. Himed is the coauthor of Space Based Radar.

Braham Himed is a Principal Electronics Engineer at the U.S. Air Force Research Laboratory, Radar Signal Processing Branch, Sensors Directorate, in Dayton, Ohio. His research interests include radar signal processing, detection, estimation, multichannel adaptive processing, time series analysis, and array processing. He is the coauthor of the book on Space Based Radar – Theory & Applications.

Ke Yong Li is a senior engineer at C & P Technolliges, Inc. in Closter, New Jersey. His areas of research include Space-Time Adaptive processing (STAP), waveform diversity and radar signal processing. He is the coauthor of the book on Space Based Radar – Theory & Applications.

Ivan Selesnick is an Associated Provessor of Electrical and Computer engineering at Polytechnic Institute of NYU in Brooklyn, New York. His current research interests are in the areas of digital signal and image processing, wavelet and sparsity based methods for signal restoration, and biomedical signal processing.

Table of Contents

Chapter 1. Introduction
Chapter 2 Waveform Design and Matched Filtering
Chapter 3 New Methods for Optimum Transmitter and Receiver Design
Chapter 4 Constant Envelope Transmit Signals
Chapter 5 Optimum Waveform Design
Chapter 6 Discrete-Time Waveform Design
Chapter 7 Sparsity-Based Receivers
Index