Simulation of M-PSK modulation techniques in AWGN channel

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A generic simulation technique to simulate all M-PSK modulation techniques (for upto \(M=32\)) is given here. The given simulation code is very generic, and it plots both simulated and theoretical symbol error rates for all M-PSK modulation techniques (upto \(M=32\)).

M-PSK Modulation and simulation methodology:

The general expression for a M-PSK signal set is given by

Here M defines the number of constellation points in the constellation diagram and essentially the M-PSK type. For example \(M=4\) implies 4-PSK or QPSK, \(M=8\) implies 8-PSK. The value of M depends on another parameter \(k\) – the number of bits we wish to squeeze into a single M-PSK symbol. For example if we wish to squeeze in 3 bits (\(k=3\)) in one transmit symbol, \(M = 2^k = 2^3 = 8\). This gives us 8-PSK configuration.

Equation (1) can be separated into cos and sin terms as follows

This can be written as

$$ \begin{matrix}
s_i(t) = s_{i1}\phi_{1}(t) + s_{i2}\phi_{2}(t) \;\; \rightarrow (3)\\
where,\\
\\
s_{i1} = \sqrt{E_s}\; cos \left[ \frac{(i-1)2\pi}{M} \right] \;,\; s_{i2} = \sqrt{E_s}\; sin \left[ \frac{(i-1)2\pi}{M} \right]\\
\\
\phi_{1}(t) = \frac{V cos(2\pi f_c t)}{\sqrt{E_s}},\phi_{2}(t) = \frac{V sin(2\pi f_c t)}{\sqrt{E_s}}\end{matrix}$$

Here \(\phi_{1}(t)\) and \(\phi_{2}(t)\) are orthonormal basis functions that follows from Gram-Schmidt orthogonalization procedure and \(s_{i1}\) and \(s_{i2}\) are the coefficients of each signaling point in the M-PSK constellation. \(E_s\) is the symbol energy usually normalized to \(1/\sqrt{2}\) The constellation points on the M-PSK constellation lie \(2 \pi /M \;\) radians apart and are placed on a circle of radius \(\sqrt{E_s}\). The coefficients \(s_{i1}\) and \(s_{i2}\) are termed as inphase (I) and quadrature-phase (Q) components respectively.

Constellation diagram 8 PSK
Figure 1: Constellation digram for MPSK with M=8

The ideal constellation diagram for M-PSK contains M equally spaced signaling points that are located at the distance \(\sqrt{E_s}\) from the origin. Figure 1 illustrates the ideal constellation diagram for 8-PSK constellation.

The generated I and Q components are then added with AWGN noise of required variance depending on the required Es/N0. The received signal’s constellation is corrupted with noise and the detection is based on comparing the received symbols with the ideal signaling points and making a decision based on the minimum distance.

Finally the simulated and theoretical symbol error rates are computed.

The theoretical symbol error rate [1] for M-PSK modulation is given by

Matlab Simulation:

File 1: simulateMPSK.m

Check this book for full Matlab code.
Simulation of Digital Communication Systems Using Matlab – by Mathuranathan Viswanathan

File 2: M_PSK_wrapper.m

Simulation Result:

Performance curves for MPSK
Figure 2:Performance curves for MPSK

Reference

[1] John G. Proakis, “Digital Communciations”, McGraw-Hill; 5th edition

See Also

[1] BER Vs Eb/N0 for 8-PSK modulation over AWGN
[2] BER Vs Eb/N0 for QPSK modulation over AWGN
[3]QPSK modulation and Demodulation
[4] Simulation of BER Vs Eb/N0 for BPSK modulation over AWGN in Matlab
[5] Intuitive derivation of Performance of an optimum BPSK receiver in AWGN channel

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