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2016 | Buch

Mathematical Model of the Time-Varying Wireless Channel Kapitel lesen Erstes Kapitel lesen

Digital Signal Processing for Wireless Communication using Matlab

verfasst von: E.S. Gopi

Verlag: Springer International Publishing

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

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SUCHEN

Über dieses Buch

This book examines signal processing techniques used in wireless communication illustrated by using the Matlab program. The author discusses these techniques as they relate to Doppler spread, Delay spread, Rayleigh and Rician channel modeling, rake receiver, diversity techniques, MIMO and OFDM based transmission techniques, and array signal processing. Related topics such as detection theory, Link budget, Multiple access techniques, spread spectrum, are also covered. • Illustrates signal processing techniques involved in wireless communication • Discusses multiple access techniques such as Frequency division multiple access, Time division multiple access, and Code division multiple access • Covers band pass modulation techniques such as Binary phase shift keying, Differential phase shift keying, Quadrature phase shift keying, Binary frequency shift keying, Minimum shift keying, and Gaussian minimum shift keying.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Mathematical Model of the Time-Varying Wireless Channel
Abstract
In this chapter the mathematical model for four fundamental parameters of the time-varying channel namely Doppler shift, coherence time, Doppler spread and coherence frequency is discussed. Case studies on discrete time-varying channel model (flat fading Rayleigh and Rician models, single tap with estimated filter coefficient model) are also illustrated using MATLAB. Also spatial multiplexing using decoupling of MIMO is demonstrated in this chapter.
E. S. Gopi
Chapter 2. Detection Theory and Estimation Theory for Wireless Communication
Abstract
In this chapter, the detection theory (Bayes technique, mini-max technique, Neyman–Pearson technique) and Estimation theory (MMSE, MMAE, MAP, Wiener filter, Kalman filter, etc.) are illustrated using MATLAB for better understanding.
E. S. Gopi
Chapter 3. Modulation Techniques in Wireless Communication
Abstract
The mathematical steps involved in QPSK, MSK, OFDM, CDMA and diversity techniques are demonstrated using MATLAB. The computation of spectral density of base band and bandpass modulation techniques is illustrated using MATLAB.
E. S. Gopi
Backmatter
Metadaten
Titel
Digital Signal Processing for Wireless Communication using Matlab
verfasst von
E.S. Gopi
Copyright-Jahr
2016
Electronic ISBN
978-3-319-20651-6
Print ISBN
978-3-319-20650-9
DOI
https://doi.org/10.1007/978-3-319-20651-6

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