Matlab Codes Archives - GaussianWaves

Line code – demonstration in Matlab and Python

Mathuranathan — Tue, 05 Jan 2021 12:55:27 +0000

Line code is the signaling scheme used to represent data on a communication line. There are several possible mapping schemes available for this purpose. Lets understand and demonstrate line code and PSD (power spectral density) in Matlab & Python. Line codes – requirements When transmitting binary data over long distances encoding the binary data using ... Read more

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Rician flat-fading channel – simulation

Mathuranathan — Sat, 15 Aug 2020 13:54:24 +0000

In wireless environments, transmitted signal may be subjected to multiple scatterings before arriving at the receiver. This gives rise to random fluctuations in the received signal and this phenomenon is called fading. The scattered version of the signal is designated as non line of sight (NLOS) component. If the number of NLOS components are sufficiently ... Read more

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BPSK bit error rate simulation in Python & Matlab

Mathuranathan — Thu, 23 Jul 2020 07:52:10 +0000

Key focus: Simulate bit error rate performance of Binary Phase Shift Keying (BPSK) modulation over AWGN channel using complex baseband equivalent model in Python & Matlab. Why complex baseband equivalent model The passband model and equivalent baseband model are fundamental models for simulating a communication system. In the passband model, also called as waveform simulation ... Read more

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Constellation diagram – investigate phase transitions

Mathuranathan — Sun, 28 Jun 2020 12:15:57 +0000

The phase transition properties of the different variants of QPSK schemes and MSK, are easily investigated using constellation diagram. Let’s demonstrate how to plot the signal space constellations, for the various modulations used in the transmitter. Typically, in practical applications, the baseband modulated waveforms are passed through a pulse shaping filter for combating the phenomenon ... Read more

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Generate color noise using Auto-Regressive (AR) model

Mathuranathan — Wed, 04 Dec 2019 07:16:19 +0000

Key focus: Learn how to generate color noise using auto regressive (AR) model. Apply Yule Walker equations for generating power law noises: pink noise, Brownian noise. Auto-Regressive (AR) model An uncorrelated Gaussian random sequence can be transformed into a correlated Gaussian random sequence using an AR time-series model. If a time series random sequence is ... Read more

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Generating colored noise with Jakes PSD: Spectral factorization

Mathuranathan — Thu, 17 Oct 2019 06:16:55 +0000

The aim of this article is to demonstrate the application of spectral factorization method in generating colored noise having Jakes power spectral density. Before continuing, I urge the reader to go through this post: Introduction to generating correlated Gaussian sequences. In spectral factorization method, a filter is designed using the desired frequency domain characteristics (like ... Read more

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GMSK implementation and simulation – part 1

Mathuranathan — Thu, 10 Oct 2019 07:38:19 +0000

What’s the need for GMSK Minimum shift keying (MSK) is a special case of binary CPFSK with modulation index . It has features such as constant envelope, compact spectrum and good error rate performance. The fundamental problem with MSK is that the spectrum is not compact enough to satisfy the stringent requirements with respect to ... Read more

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Exponential random variable – simulation & application

Mathuranathan — Fri, 26 Jul 2019 05:51:23 +0000

Introduction An exponential random variable (RV) is a continuous random variable that has applications in modeling a Poisson process. Poisson processes find extensive applications in tele-traffic modeling and queuing theory. They are used to model random points in time or space, such as the times when call requests arriving at an exchange, the times when ... Read more

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Fresnel zones

Mathuranathan — Tue, 02 Apr 2019 07:14:32 +0000

An important consideration for propagation models are the existence of objects within what is called the first Fresnel zone. Fresnel zones, referenced in Figure 1 are ellipsoids with the foci at the transmitter and the receiver, where the path length between the direct path and the alternative paths are multiples of half-wavelength (). Rays emanating ... Read more

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Modeling diffraction loss : Single knife-edge diffraction model

Mathuranathan — Mon, 01 Apr 2019 06:05:37 +0000

Modeling diffraction loss Propagation environments may have obstacles that hinder the radio transmission path between the transmitter and the receiver. Idealized models for estimating the signal loss associated with diffraction by such obstacles are available. The shape of the obstacles considered in these model are too idealized for real-life applications, nevertheless, these models can serve ... Read more

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