Skip to main content

MATLAB Code for QPSK Modulation and Demodulation


 

Quadrature Phase Shift Keying (QPSK) is a digital modulation scheme that conveys two bits per symbol by changing the phase of the carrier signal. Each pair of bits is mapped to one of four possible phase shifts: 0°, 90°, 180°, or 270°

00  ===> 0 degree phase shift of carrier signal

01  ===> 90 degree

11  ===> 180 degree

10  ===> 270 degree

 

MATLAB Script


 

Result

data
1
0
2
2
0
2
1
.
.
.

modData
-1.00000000000000 + 1.22464679914735e-16i
-1.83697019872103e-16 - 1.00000000000000i
1.00000000000000 + 0.00000000000000i
6.12323399573677e-17 + 1.00000000000000i
6.12323399573677e-17 + 1.00000000000000i
-1.83697019872103e-16 - 1.00000000000000i
1.00000000000000 + 0.00000000000000i
-1.00000000000000 + 1.22464679914735e-16i
6.12323399573677e-17 + 1.00000000000000i
-1.83697019872103e-16 - 1.00000000000000i
.
.
.


Fig 1: Constellation Diagram of Transmitted QPSK (or 4 PSK) Signal




Fig 2: Constellation Diagram of Received QPSK (or 4 PSK) Signal through Noisy Channel


Further Reading

  1. MATLAB Code for Constellation Diagram of QPSK
  2. Constellation Diagram of BPSK

QPSK (Passband) Signal Generation 

Choose QPSK as the modulation type in the simulation to visualize the QPSK signal.

Try the Online Simulator for QPSK Signal Generator (Click here)


Spectral Efficiency in QPSK

M = 4 Modulation

In Quadrature Phase Shift Keying (QPSK), the system transmits two bits per symbol. This allows for a significantly higher Spectral Efficiency (η) compared to binary modulation, doubling the data rate within the same frequency allocation.

Fundamental Measurement

η = Rb / B

For QPSK (M = 4), each symbol carries 2 bits. Therefore:

Rb = 2 × Rs

Where Rb is Bit Rate and Rs is Symbol Rate

Efficiency Benchmarks (η)

Nyquist Limit (B = Rs) 2.0 bps/Hz
Null-to-Null (B = 2Rs) 1.0 bps/Hz

The QPSK Calculation Logic

The measurement of efficiency in a QPSK system is driven by three core technical factors:

  1. 1
    Bit-to-Symbol Mapping: Because QPSK utilizes four distinct phases, it maps bit pairs (00, 01, 10, 11) to a single symbol. This means the Symbol Rate (Rs) is exactly half of the Bit Rate (Rb).
  2. 2
    Bandwidth Efficiency: The Required Bandwidth (B) of a signal is physically determined by the Symbol Rate. Since QPSK has a lower symbol rate than BPSK for the same bit rate, it consumes 50% less bandwidth to move the same amount of data.
  3. 3
The Sweet Spot Result: Under identical pulse-shaping conditions, QPSK provides an Efficiency (η) that is exactly double that of BPSK, reaching a theoretical max of 2 bits/s/Hz.

Why Engineers Choose QPSK

While 16-QAM or 64-QAM offer even higher efficiency, they are extremely fragile in noisy environments. QPSK is the industry's robust middle-ground, used extensively in Satellite Links (DVB-S) and LTE Control Channels where both speed and reliability are critical.

Read more: about Spectral Efficiency for various Modulation Schemes

QPSK Performance Analysis: Bit and Symbol Error Rates

Quadrature Phase Shift Keying (QPSK) is widely used due to its ability to carry twice the data rate of BPSK within the same bandwidth while maintaining the same bit error performance.

1. QPSK Bit Error Rate (BER)

For Gray-coded QPSK, the probability of bit error is identical to BPSK, as the quadrature components are independent:

\[ P_{b, QPSK} = Q\left(\sqrt{\frac{2E_b}{N_0}}\right) \]

2. QPSK Symbol Error Rate (SER)

A QPSK symbol consists of two bits. An error occurs if either (or both) bits are detected incorrectly. The approximation for SER is:

\[ P_{s, QPSK} \approx 2Q\left(\sqrt{\frac{2E_b}{N_0}}\right) \]

Note: The exact expression is \( P_s = 1 - [1 - P_b]^2 \).


Comparative BER Performance

How QPSK compares to other modulation formats in terms of \(P_b\):

BPSK (Same as QPSK)

\[ P_b = Q\left(\sqrt{\frac{2E_b}{N_0}}\right) \]

8-PSK (Higher Order)

\[ P_b \approx \frac{2}{3} Q\left( \sqrt{\frac{2E_s}{N_0}} \sin\left(\frac{\pi}{8}\right) \right) \]

16-QAM (Gray Coded)

\[ P_b \approx \frac{3}{4} Q\left( \sqrt{\frac{4}{5}\frac{E_b}{N_0}} \right) \]

64-QAM / 256-QAM

\[ P_{b, 64} \approx \frac{7}{12} Q\left( \sqrt{\frac{2}{7}\frac{E_b}{N_0}} \right), \quad P_{b, 256} \approx \frac{15}{32} Q\left( \sqrt{\frac{8}{85}\frac{E_b}{N_0}} \right) \]

Comparative Symbol Error Rate (SER)

Performance benchmarks for symbol detection:

8-PSK Approximation

\[ P_s \approx 2Q\left( \sqrt{\frac{2E_s}{N_0}} \sin\left(\frac{\pi}{8}\right) \right) \]

16-QAM Approximation

\[ P_s \approx 3Q\left( \sqrt{\frac{4}{5}\frac{E_b}{N_0}} \right) \]

Higher Order QAM (64 & 256)

\[ P_{s, 64} \approx \frac{7}{2} Q\left( \sqrt{\frac{2}{7}\frac{E_b}{N_0}} \right), \quad P_{s, 256} \approx \frac{15}{4} Q\left( \sqrt{\frac{8}{85}\frac{E_b}{N_0}} \right) \]
Technical Deep Dive: Q-function & SNR Calculation


Contact Us

Name

Email *

Message *

Popular Posts

UGC NET Electronic Science Previous Year Question Papers with Solutions

Download Papers and Solutions Exam Pattern Preparation Tips FAQs More Home / Engineering & Other Exams / UGC NET 2026 PYQ 📊 Exam Highlights: Electronic Science (88) Feature Details Junior Research Fellowship (JRF) ₹37,000 + HRA per month Eligibility M.Sc/M.Tech in Electronics (55%) Validity of Certificate JRF (3 Years) | Lectureship (Lifetime) 📥 Download UGC NET Electronics PDFs Complete collection of previous year question papers, answer keys and explanations for Subject Code 88. Start Downloading 📂 View All Question Papers June 2026 - Question Paper Download PDF June 202...

Online Simulator for ASK, FSK, and PSK Signal Generation

Interactive Digital Signal Processing (DSP) Tutorial and Simulator for ASK, FSK, and BPSK modulation techniques. Try our new Digital Signal Processing Simulator!   •   Interactive ASK, FSK, and BPSK tools updated for 2025. Start Now Digital Modulation Visualizer: ASK, FSK, & BPSK Simulator Learn and visualize binary modulation techniques (ASK, FSK, BPSK) in real-time with adjustable carrier and sampling parameters. Perfect for DSP students and engineers. 📡 ASK Simulator 📶 FSK Simulator 🎚️ BPSK Simulator 📚 More Topics ASK Modulator FSK Modulator BPSK Modulator Demodulation More Topics 1. ASK (Ampli...

Linear vs Circular Convolution

Linear vs Circular Convolution Linear convolution vs circular convolution Linear convolution (what nature does) If: x[n] = transmitted signal h[n] = channel impulse response (multipath) Then the received signal is: y[n] = x[n] * h[n] This means: Past symbols spill into future symbols Causes inter-symbol interference (ISI) DFT of y[n] is not a simple product Circular convolution (what DFT assumes) The DFT assumes periodic signals : y[n] = x[n] ⊛ h[n], where indices wrap around modulo N Only under circular convolution does the DFT satisfy: Y[k] = X[k] · H[k] This is what enables one-tap frequency-domain equalization . What happens in the real channel (linear convolution) The channel performs linear convolution: y[n] = Σ l=0 Lh−1 h[l] x[n-l] But because: CP absorbs the “spillover” Receiver discards CP before DFT The useful part of the received symbol becomes: y[n] = Σ l=0 Lh−1 h[l] x[(n-l) mod N] Modulo inde...

Flat vs Frequency Selective Online Simulator

Flat vs Frequency Selective Online Simulator Channel Type Without Fading Flat Fading Multipaths Nakagami m SNR(dB) Run Simulation Input Signal Signal After Fading Constellation Diagram BER vs SNR Explore Advanced Flat vs Frequency-Selective Fading Simulator Want to see these equations in action? Visualize it. Launch Simulator Tool Interactive Rayleigh Fading Simulator Want to see Rayleigh fading in action? Visualize it. Launch Simulator Tool Return to DSP Simulations Main Page →

Theoretical BER vs SNR for binary ASK, FSK, and PSK (with MATLAB Code + Simulator)

📘 Overview & Theory 🧮 MATLAB Codes 🧮 Q-function 📚 Further Reading Bit Error Rate (BER) Equations In ASK, noise directly affects the signal amplitude, making it the most vulnerable since the data is carried in amplitude changes. In FSK, data is represented by frequency variations, and because noise typically impacts amplitude more than frequency, FSK is more robust than ASK. In PSK, data is encoded in the signal phase, and BPSK specifically uses 180-degree phase shifts, creating the greatest separation between signal points and therefore achieving the lowest bit error rate (BER) for the same power level. BER formulas for ASK, FSK, and PSK modulation schemes. ASK BER = 0.5 × erfc(0.5 × √SNR) FSK BER = 0.5 × erfc(√(SNR / 2)) PSK BER = 0.5 × erfc(√SNR) ...

Design of CMOS XOR/XNOR Gates

Design of CMOS XOR/XNOR Gates The semiconductor industry has experienced rapid integration of multimedia applications into mobile electronics, leading to very high integration density in CMOS VLSI. As operating frequencies increase, power consumption, speed, silicon area, and reliability become critical considerations. The XOR-XNOR circuits are fundamental building blocks in arithmetic circuits (Full Adders, Multipliers), compressors, comparators, parity checkers, code converters, error-detecting/correcting codes, and phase detectors. Their performance directly impacts the complex circuits they are used in. Design goals include full output voltage swing, low power consumption, reduced transistor count, minimal delay, and simultaneous non-skewed outputs. Static Logic (Static CMOS) Stat...

Constellation Diagrams of ASK, PSK, and FSK (with MATLAB Code + Simulator)

Constellation Diagrams: ASK, FSK, and PSK Comprehensive guide to signal space representation, including interactive simulators and MATLAB implementations. 📘 Overview 🧮 Simulator ⚖️ Theory 📈 Q-function 📚 Resources BASK Modulation Transmits one of two signals: 0 or $\sqrt{E_b}$, representing binary 0 and 1. Simple but sensitive to noise. BFSK Modulation Transmits one of two signals: $\sqrt{E_b}$ on the Y-axis or $\sqrt{E_b}$ on the X-axis. These are orthogonal signals. BPSK Modulation Transmits $+\sqrt{E_b}$ or $-\sqrt{E_b}$ (antipodal signaling). Most efficient binary scheme. ...