Waveform Diversity: Theory & Applications
Autor S Pillai, Ke Yong Li, Ivan Selesnick, Braham Himeden Limba Engleză Hardback – 16 iun 2011
Cutting-edge transmitter and receiver waveform design techniques
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
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Specificații
ISBN-13: 9780071622899
ISBN-10: 0071622896
Pagini: 320
Dimensiuni: 160 x 236 x 22 mm
Greutate: 0.6 kg
Editura: McGraw Hill Education
Colecția McGraw-Hill
Locul publicării:United States
ISBN-10: 0071622896
Pagini: 320
Dimensiuni: 160 x 236 x 22 mm
Greutate: 0.6 kg
Editura: McGraw Hill Education
Colecția McGraw-Hill
Locul publicării:United States
Cuprins
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
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