Skip to main content

Minimum Shift Keying (MSK)



Minimum Shift Keying (MSK)

In digital modulation, Minimum-Shift Keying (MSK) is a type of continuous-phase frequency-shift keying. Similar to OQPSK, MSK encodes bits alternating between quadrature components, with the Q component delayed by half the symbol period.

However, instead of using square pulses like OQPSK, MSK encodes each bit as a half sinusoid. This results in a constant-modulus signal, which reduces issues caused by non-linear distortion. In addition to being viewed as a variant of OQPSK, MSK is also seen as a Continuous Phase Frequency Shift Keyed (CPFSK) signal with a frequency separation of one-half the bit rate. 

 

Mathematical Representation

The resulting signal can be expressed as:

s(t) = aI(t)  cos(Ï€t / 2T)  cos(2Ï€fct) − aQ(t)  sin(Ï€t / 2T)  sin(2Ï€fct)

where aI(t) and aQ(t) encode even and odd bits respectively with square pulses of duration 2T.

Using trigonometric identities, the expression can be rewritten to show phase and frequency modulation more clearly:

s(t) = cos(2Ï€fct + φk + Ï€t / 2T  ·  bk)

where:

  • bk = +1 if aI(t) = aQ(t), and -1 otherwise
  • φk = 0 if aI(t) = 1, and Ï€ otherwise

This shows that the signal is modulated in both frequency and phase, and the phase changes in a continuous and linear manner. 

 

Minimum shift keying (MSK) is a type of continuous frequency shift keying (CFSK). Like continuous frequency shift keying, we can also define bit "1" and "0" by two distinct frequency carriers, but the frequency shift will be half of the baud rate, i.e., f2 - f1 will be Rb/2.

where f2 is the carrier frequency for binary bit "1"

f1 is the carrier frequency for binary bit "0"

Rb = Baud Rate  

Here, the frequency shift between two carrier frequencies is minimum (Baud Rate) / 2. So, it is called minimum shift keying.


Steps for minimum shift keying

1. Firstly, generate a bitstream of binary bits "1" and "0"

2. Then Convert it to NRZ Signal

3. Then perform MSK modulation on the NRZ Signal

4. If the carrier frequency is fc, then bit "1" will be represented by slightly higher than the carrier frequency, fc + (baud rate)/4, and bit "0" by slightly lower than the carrier frequency, fc - (baud rate)/4.


Gaussian minimum shift keying (GMSK) is quite similar to the MSK. Here, MSK modulation is followed by the Gaussian filtering.

 

Why Use MSK?

Binary data with sharp transitions (like from "1" to "0") can create wide sidebands around the carrier frequency, which causes interference with adjacent channels. MSK, with its constant envelope and smooth phase transitions, minimizes these sidebands and fits better within limited bandwidth, making it ideal for wireless communications.

 

Similarities between FSK and MSK

Frequency Shift Keying (FSK) Minimum Shift Keying (MSK)
1. Bits "1" and "0" are represented
by two different carrier frequencies

2. Here, you can define bits "1" and 
"0" by carrier frequencies f2 and f1
, respectively.
1. Here also, bits "1" and "0" are represented
by two different carrier frequencies, but the frequency
 difference between them will be half of the baud rate
2. Here, you can define bits "1" and 
"0" by fc + (baud rate)/4 and fc - (baud rate)/4
, respectively. Where fc is the carrier frequency.


Differences Between MSK and FSK

Phase Continuity in FSK vs MSK

1. Frequency‑Shift Keying (FSK)

In FSK, when the data changes from 0 to 1 (and f0 ≠ f1), the carrier hops between the two symbol frequencies. Unless we deliberately use continuous‑phase FSK (CPFSK), the phase is not preserved across bit boundaries, so abrupt phase jumps occur at every transition.

2. Minimum‑Shift Keying (MSK)

MSK guarantees a continuous phase trajectory. The phase evolves linearly within each bit interval according to its value; it never jumps. The required frequency deviation is Δf = ±1 ⁄ 4Tb, where Tb is the bit duration. MSK “remembers” the carrier phase—the phase at the end of one symbol becomes the starting phase of the next.

3. Worked Example (Bitstring 0110, 100 bps, fc = 1 kHz)

Parameters

  • Bit rate: 100 bps → Tb = 0.01 s
  • Carrier: fc = 1 kHz

3.1 MSK Symbol Frequencies & Phase Ranges

MSK frequencies are offset by ±1 ⁄ 4Tb = ±25 Hz:

  • Bit 0f = 975 Hz
  • Bit 1f = 1025 Hz
Bit #ValuePhase Equation
(within its interval)
Phase Range
10 φ(t) = −Ï€t ⁄ (2Tb) 0 → −Ï€ ⁄ 2
21 φ(t) = −Ï€ ⁄ 2 + Ï€(t−0.01) ⁄ (2Tb) −Ï€ ⁄ 2 → 0
31 φ(t) = Ï€(t−0.02) ⁄ (2Tb) 0 → Ï€ ⁄ 2
40 φ(t) = Ï€ ⁄ 2 − Ï€(t−0.03) ⁄ (2Tb) Ï€ ⁄ 2 → 0

3.2 Binary FSK Symbol Frequencies & Phase Ranges

To keep the two tones orthogonal over one bit, choose Δf = 1 ⁄ (2Tb) = 50 Hz:

  • Bit 0f0 = 950 Hz
  • Bit 1f1 = 1050 Hz

(Standard FSK resets the phase at the start of each symbol.)

Bit #ValuePhase EquationPhase Range
10 φ(t) = 2Ï€·950·t 0 → 19Ï€ ≈ 59.7 rad
21 φ(t) = 2Ï€·1050·(t−0.01) 0 → 21Ï€ ≈ 66.0 rad
31 φ(t) = 2Ï€·1050·(t−0.02) 0 → 21Ï€ ≈ 66.0 rad
40 φ(t) = 2Ï€·950·(t−0.03) 0 → 19Ï€ ≈ 59.7 rad

4. Key Take‑Aways

  • MSK = narrow phase swing (±Ï€/2), fully continuous.
  • FSK = large phase swing (≈60–66 rad), discontinuous unless CPFSK is used.
  • Continuous phase → better spectral efficiency and smoother spectra.


Read more about

  1. Minimum Shift Keying (MSK) Simulator
  2. MATLAB Code for MSK
  3. Gaussian minimum shift keying (GMSK)
  4. MATLAB Code for GMSK 

People are good at skipping over material they already know!

View Related Topics to







Admin & Author: Salim

s

  Website: www.salimwireless.com
  Interests: Signal Processing, Telecommunication, 5G Technology, Present & Future Wireless Technologies, Digital Signal Processing, Computer Networks, Millimeter Wave Band Channel, Web Development
  Seeking an opportunity in the Teaching or Electronics & Telecommunication domains.
  Possess M.Tech in Electronic Communication Systems.


Contact Us

Name

Email *

Message *

Popular Posts

Constellation Diagrams of ASK, PSK, and FSK

📘 Overview of Energy per Bit (Eb / N0) 🧮 Online Simulator for constellation diagrams of ASK, FSK, and PSK 🧮 Theory behind Constellation Diagrams of ASK, FSK, and PSK 🧮 MATLAB Codes for Constellation Diagrams of ASK, FSK, and PSK 📚 Further Reading 📂 Other Topics on Constellation Diagrams of ASK, PSK, and FSK ... 🧮 Simulator for constellation diagrams of m-ary PSK 🧮 Simulator for constellation diagrams of m-ary QAM BASK (Binary ASK) Modulation: Transmits one of two signals: 0 or -√Eb, where Eb​ is the energy per bit. These signals represent binary 0 and 1.    BFSK (Binary FSK) Modulation: Transmits one of two signals: +√Eb​ ( On the y-axis, the phase shift of 90 degrees with respect to the x-axis, which is also termed phase offset ) or √Eb (on x-axis), where Eb​ is the energy per bit. These signals represent binary 0 and 1.  BPSK (Binary PSK) Modulation: Transmits one of two signals...

BER vs SNR for M-ary QAM, M-ary PSK, QPSK, BPSK, ...

📘 Overview of BER and SNR 🧮 Online Simulator for BER calculation of m-ary QAM and m-ary PSK 🧮 MATLAB Code for BER calculation of M-ary QAM, M-ary PSK, QPSK, BPSK, ... 📚 Further Reading 📂 View Other Topics on M-ary QAM, M-ary PSK, QPSK ... 🧮 Online Simulator for Constellation Diagram of m-ary QAM 🧮 Online Simulator for Constellation Diagram of m-ary PSK 🧮 MATLAB Code for BER calculation of ASK, FSK, and PSK 🧮 MATLAB Code for BER calculation of Alamouti Scheme 🧮 Different approaches to calculate BER vs SNR What is Bit Error Rate (BER)? The abbreviation BER stands for bit error rate, which indicates how many corrupted bits are received (after the demodulation process) compared to the total number of bits sent in a communication process. It is defined as,  In mathematics, BER = (number of bits received in error / total number of transmitted bits)  On the other hand, SNR ...

Comparisons among ASK, PSK, and FSK | And the definitions of each

📘 Comparisons among ASK, FSK, and PSK 🧮 Online Simulator for calculating Bandwidth of ASK, FSK, and PSK 🧮 MATLAB Code for BER vs. SNR Analysis of ASK, FSK, and PSK 📚 Further Reading 📂 View Other Topics on Comparisons among ASK, PSK, and FSK ... 🧮 Comparisons of Noise Sensitivity, Bandwidth, Complexity, etc. 🧮 MATLAB Code for Constellation Diagrams of ASK, FSK, and PSK 🧮 Online Simulator for ASK, FSK, and PSK Generation 🧮 Online Simulator for ASK, FSK, and PSK Constellation 🧮 Some Questions and Answers Modulation ASK, FSK & PSK Constellation MATLAB Simulink MATLAB Code Comparisons among ASK, PSK, and FSK    Comparisons among ASK, PSK, and FSK Comparison among ASK, FSK, and PSK Parameters ASK FSK PSK Variable Characteristics Amplitude Frequency ...

Constellation Diagrams of M-ary QAM | M-ary Modulation

📘 Overview of QAM 🧮 MATLAB Code for m-ary QAM (4-QAM, 16-QAM, 32-QAM, ...) 🧮 Online Simulator for M-ary QAM Constellations 📚 Further Reading 📂 Other Topics on Constellation Diagrams of QAM configurations ... 🧮 MATLAB Code for 4-QAM 🧮 MATLAB Code for 16-QAM 🧮 MATLAB Code for m-ary QAM (4-QAM, 16-QAM, 32-QAM, ...) 🧮 Simulator for constellation diagrams of m-ary PSK 🧮 Simulator for constellation diagrams of m-ary QAM 🧮 Overview of Energy per Bit (Eb / N0) 🧮 Online Simulator for constellation diagrams of ASK, FSK, and PSK 🧮 Theory behind Constellation Diagrams of ASK, FSK, and PSK 🧮 MATLAB Codes for Constellation Diagrams of ASK, FSK, and PSK QAM Unlike M-ary PSK, where the signal is modulated with diffe...

MATLAB Code for Zero-Forcing (ZF) Beamforming in 4×4 MIMO Systems

MATLAB Code for Zero-Forcing (ZF) Beamforming in 4×4 MIMO Systems clc; clear; close all; %% Parameters Nt = 4; % Transmit antennas Nr = 4; % Receive antennas (must be >= Nt for ZFBF) numBits = 1e4; % Number of bits per stream SNRdB = 0; % SNR in dB numRuns = 100; % Number of independent runs for averaging %% Precompute noise standard deviation noiseSigma = 10^(-SNRdB / 20); %% Accumulator for total errors totalErrors = 0; for run = 1:numRuns % Generate random bits: [4 x 10000] bits = randi([0 1], Nt, numBits); % BPSK modulation: 0 → +1, 1 → -1 txSymbols = 1 - 2 * bits; % Rayleigh channel matrix: [4 x 4] H = (randn(Nr, Nt) + 1j * randn(Nr, Nt)) / sqrt(2); %% === Zero Forcing Beamforming at Transmitter === W_zf = pinv(H); % Precoding matrix: [Nt x Nr] txPrecoded = W_zf * txSymbols; % Apply ZF precoding % Normalize transmit power (optional but useful) txPrecoded = txPrecoded / sqrt(mean(abs(txPrecoded(:)).^2)); %% Channel transmission with AWGN noise = noiseSigma * (randn(...

Constellation Diagram of FSK in Detail

📘 Overview 🧮 Simulator for constellation diagram of FSK 🧮 Theory 🧮 MATLAB Code 📚 Further Reading   Binary bits '0' and '1' can be mapped to 'j' and '1' to '1', respectively, for Baseband Binary Frequency Shift Keying (BFSK) . Signals are in phase here. These bits can be mapped into baseband representation for a number of uses, including power spectral density (PSD) calculations. For passband BFSK transmission, we can modulate signal 'j' with a lower carrier frequency and signal '1' with a higher carrier frequency while transmitting over a wireless channel. Let's assume we are transmitting carrier signal fc1 for the transmission of binary bit '1' and carrier signal fc2 for the transmission of binary bit '0'. Simulator for 2-FSK Constellation Diagram Simulator for 2-FSK Constellation Diagram SNR (dB): ...

Theoretical BER vs SNR for BPSK

Let's simplify the explanation for the theoretical Bit Error Rate (BER) versus Signal-to-Noise Ratio (SNR) for Binary Phase Shift Keying (BPSK) in an Additive White Gaussian Noise (AWGN) channel.  Key Points Fig 1: Constellation Diagrams of BASK, BFSK, and BPSK [↗] BPSK Modulation: Transmits one of two signals: +√Eb ​ or -√Eb , where Eb​ is the energy per bit. These signals represent binary 0 and 1 . AWGN Channel: The channel adds Gaussian noise with zero mean and variance N0/2 (where N0 ​ is the noise power spectral density). Receiver Decision: The receiver decides if the received signal is closer to +√Eb​ (for bit 0) or -√Eb​ (for bit 1) . Bit Error Rate (BER) The probability of error (BER) for BPSK is given by a function called the Q-function. The Q-function Q(x) measures the tail probability of the normal distribution, i.e., the probability that a Gaussian random variable exceeds a certain value x.  Understanding the Q...

Power Spectral Density Calculation Using FFT in MATLAB

📘 Overview 🧮 Steps to calculate the PSD of a signal 🧮 MATLAB Codes 📚 Further Reading Power spectral density (PSD) tells us how the power of a signal is distributed across different frequency components, whereas Fourier Magnitude gives you the amplitude (or strength) of each frequency component in the signal. Steps to calculate the PSD of a signal Firstly, calculate the first Fourier transform (FFT) of a signal Then, calculate the Fourier magnitude of the signal The power spectrum is the square of the Fourier magnitude To calculate power spectrum density (PSD), divide the power spectrum by the total number of samples and the frequency resolution. {Frequency resolution = (sampling frequency / total number of samples)}  Sampling frequency (fs): The rate at which the continuous-time signal is sampled (in Hz). Total number of samples (N): The number of samples in the time-domain signal used for the DFT/FFT.   Suppose:    ...