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2021 | Buch

Modulation Techniques and Spectral Density Estimation Kapitel lesen Erstes Kapitel lesen

Digital Signal Processing for Wireless Communication using Matlab

verfasst von: Dr. E.S. Gopi

Verlag: Springer International Publishing

Buchreihe : Signals and Communication Technology

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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SUCHEN

Über dieses Buch

The updated book presents Matlab illustrations on various digital signal processing (DSP) techniques such as random process, time varying wireless system model, and detection and estimation theory used in wireless communication. The book also covers recent wireless techniques like OFDM, massive MIMO techniques, non-orthogonal multiple access, millimeter wave MIMO, full duplex, cognitive radio, co-operating communication, unmanned aerial vehicles etc. This book is suitable for those who are doing basic and applied research in digital signal processing for wireless communication.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Modulation Techniques and Spectral Density Estimation
Abstract
In this chapter, the modulation techniques like FSK, QPSK, and MSK and the methodology in computing the corresponding spectral density are discussed. The Hilbert transformation-based bandpass to baseband conversion and spectral estimation using the Bartlett, Welch, and Blackman–Tukey techniques are also discussed in this chapter.
E. S. Gopi
Chapter 2. Mathematical Model of Time Varying Wireless Channel Model
Abstract
In this chapter, multi-path time varying channel model (continuous and discrete), coherence time, coherence frequency, Doppler spread, and the Delay spread are discussed. The probabilistic models like κ–μ, η–μ, Rayleigh, Rician, Nakagami distribution, Case study on Flat-Rayleigh channel model, and Rician channel model are also covered in this chapter.
E. S. Gopi
Chapter 3. Detection Theory and Estimation Theory for Wireless Communication
Abstract
The detection theory like Bayes technique, Mini-Max technique, Neyman–Pearson technique and Estimation theory like Minimum Mean Square Estimation, Minimum Mean Absolute Error estimate, Maximum A posterior Probability estimation, filtering based estimate techniques like Wiener filter and Kalman filter are discussed in this chapter.
E. S. Gopi
Chapter 4. Multiple Input Multiple Output (MIMO), Orthogonal Frequency Division Multiplexing
Abstract
Multi-user Massive MIMO, OFDM and other related techniques like Spatial diversity, Spatial decoupling, Ray tracing model, Beam forming, OFDM, and CDMA are discussed in this chapter.
E. S. Gopi
Chapter 5. 5G and Beyond Technologies
Abstract
Recent promising techniques like Non-orthogonal Multiple Access (NOMA), Spatial Modulation techniques, Multicarrier transmission techniques like OFDM and OQAM, Millimeter wave transmission model, Co-operative communication model, Full duplex transmission, and Unmanned Aerial Vehicle (UAV) based data collection are discussed in this chapter.
E. S. Gopi
Backmatter
Metadaten
Titel
Digital Signal Processing for Wireless Communication using Matlab
verfasst von
Dr. E.S. Gopi
Copyright-Jahr
2021
Electronic ISBN
978-3-030-82036-7
Print ISBN
978-3-030-82035-0
DOI
https://doi.org/10.1007/978-3-030-82036-7

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