Skip to main content

DSB-SC vs SSB-SC



DSB-SC Modulation

Theory

Double Sideband Suppressed Carrier (DSB-SC) modulation is a type of amplitude modulation where only the sidebands are transmitted, and the carrier signal is suppressed. This method is more power-efficient compared to standard amplitude modulation (AM), as it eliminates the carrier, which does not carry useful information.

Mathematical Representation

The DSB-SC modulated signal \( S(t) \) can be expressed as:

\( S(t) = A_c m(t) \cos(2\pi f_c t) \)

Where:

  • \( A_c \) is the amplitude of the carrier signal.
  • \( m(t) \) is the baseband (modulating) signal.
  • \( f_c \) is the frequency of the carrier signal.

In DSB-SC modulation, the carrier signal \( \cos(2\pi f_c t) \) is multiplied by the modulating signal \( m(t) \), resulting in the modulated signal \( S(t) \). The key characteristic of DSB-SC is that the carrier \( A_c \cos(2\pi f_c t) \) is not transmitted. Instead, only the sidebands generated by the multiplication of \( m(t) \) and \( \cos(2\pi f_c t) \) are transmitted.


SSB-SC Modulation

Theory

The SSB-SC modulated signal \( S(t) \) can be expressed as:

\( S(t) = \frac{A_c}{2} \left[ m(t) \cos(2\pi f_c t) \pm \hat{m}(t) \sin(2\pi f_c t) \right] \)

Where:

  • \( A_c \) is the amplitude of the carrier signal.
  • \( m(t) \) is the baseband (modulating) signal.
  • \( f_c \) is the frequency of the carrier signal.
  • \( \hat{m}(t) \) is the Hilbert transform of the modulating signal \( m(t) \).

In SSB-SC modulation, either the upper sideband (USB) or the lower sideband (LSB) is transmitted by choosing the corresponding sign (plus or minus) in the equation. The carrier \( A_c \cos(2\pi f_c t) \) is suppressed, and only one sideband is transmitted. This reduces the bandwidth required for transmission to half that of DSB-SC.


Comparison of Double Sideband Suppressed Carrier (DSB-SC) and Double Side Band (DSB)


Similar to amplitude-modulated (AM) signals, double side-band full carrier (DSB-FC) signals transmit both the upper sideband and lower sideband with a carrier signal.

We transmit only the sidebands of the modulated signal when using a double sideband suppressed carrier (DSB-SC) modulation. The carrier signal itself is not transmitted. It is also possible to reconstruct the original message signal using only one sideband—either the upper or lower sideband—in the case of single sideband suppressed carrier (SSB-SC) modulation. In this case, we transmit only the upper sideband or the lower sideband.


Spectrums of Frequencies for DSB-FC and DSB-SC


The AM signal and the DSB-FC signal use the same frequency spectrum. Take a carrier frequency of 100 Hz and a message frequency of 10 Hz, for instance. You also perform modulation using DSB-FC. Then, peak frequencies that are comparable to AM modulation will be at 90 Hz (100 - 10 Hz), 100 Hz, and 110 Hz (100 + 10 Hz).

 



 Figure: Frequency Spectrums of DSB (Lower Sideband, Carrier, and Upper Sideband)


When DSB-SC modulation is used, the carrier frequency is absent from the modulated signal's spectrum. You will find peak magnitude at frequencies like 90 Hz (100 - 10 Hz) and 110 Hz (100 + 10 Hz) for the same example above with a carrier frequency of 100 Hz and a message frequency of 10 Hz. There won't be any carrier frequency in this

 

                 Figure: Frequency Spectrums of DSB-SC (Lower Sideband, and Upper Sideband)



Further Reading

  1. DSB-SC in detail
  2. SSB-SC in detail
  3. DSB-SC in MATLAB

People are good at skipping over material they already know!

View Related Topics to







Contact Us

Name

Email *

Message *

Popular Posts

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. BER = (number of bits received in error) / (total number of tran...

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...

Calculation of SNR from FFT bins in MATLAB

📘 Overview 🧮 MATLAB Code for Estimation of SNR from FFT bins of a Noisy Signal 🧮 MATLAB Code for Estimation of Signal-to-Noise Ratio from Power Spectral Density Using FFT and Kaiser Window Periodogram from real signal data 📚 Further Reading   Here, you can find the SNR of a received signal from periodogram / FFT bins using the Kaiser operator. The beta (β) parameter characterizes the Kaiser window, which controls the trade-off between the main lobe width and the side lobe level in the frequency domain. For that you should know the sampling rate of the signal.  The Kaiser window is a type of window function commonly used in signal processing, particularly for designing finite impulse response (FIR) filters and performing spectral analysis. It is a general-purpose window that allows for control over the trade-off between the main lobe width (frequency resolution) and side lobe levels (suppression of spectral leakage). The Kaiser window is defined...

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). ...

Online Channel Impulse Response Simulator

  Fundamental Theory of Channel Impulse Response The fundamental theory behind the channel impulse response in wireless communication often involves complex exponential components such as: \( h(t) = \sum_{i=1}^{L} a_i \cdot \delta(t - \tau_i) \cdot e^{j\theta_i} \) Where: \( a_i \) is the amplitude of the \( i^{th} \) path \( \tau_i \) is the delay of the \( i^{th} \) path \( \theta_i \) is the phase shift (often due to Doppler effect, reflection, etc.) \( e^{j\theta_i} \) introduces a phase rotation (complex exponential) The convolution \( x(t) * h(t) \) gives the received signal So, instead of representing the channel with only real-valued amplitudes, each path can be more accurately modeled using a complex gain : \( h[n] = a_i \cdot e^{j\theta_i} \) 1. Simple Channel Impulse Response Simulator  (Here you can input only a unit impulse signal) Input Signal (Unit Impu...

MATLAB code for BER vs SNR for M-QAM, M-PSK, QPSk, BPSK, ...

🧮 MATLAB Code for BPSK, M-ary PSK, and M-ary QAM Together 🧮 MATLAB Code for M-ary QAM 🧮 MATLAB Code for M-ary PSK 📚 Further Reading MATLAB Script for BER vs. SNR for M-QAM, M-PSK, QPSK, BPSK % Written by Salim Wireless clc; clear; close all; num_symbols = 1e5; snr_db = -20:2:20; psk_orders = [2, 4, 8, 16, 32]; qam_orders = [4, 16, 64, 256]; ber_psk_results = zeros(length(psk_orders), length(snr_db)); ber_qam_results = zeros(length(qam_orders), length(snr_db)); for i = 1:length(psk_orders) psk_order = psk_orders(i); for j = 1:length(snr_db) data_symbols = randi([0, psk_order-1], 1, num_symbols); modulated_signal = pskmod(data_symbols, psk_order, pi/psk_order); received_signal = awgn(modulated_signal, snr_db(j), 'measured'); demodulated_symbols = pskdemod(received_signal, psk_order, pi/psk_order); ber_psk_results(i, j) = sum(data_symbols ~= demodulated_symbols) / num_symbols; end end for i...

Coherence Bandwidth and Coherence Time

🧮 Coherence Bandwidth 🧮 Coherence Time 🧮 MATLAB Code s 📚 Further Reading Coherence Bandwidth Coherence bandwidth is a concept in wireless communication and signal processing that relates to the frequency range over which a wireless channel remains approximately constant in terms of its characteristics. Coherence bandwidth is inversely related to the delay spread time (e.g., RMS delay spread). The coherence bandwidth is related to the delay spread of the channel, which is a measure of the time it takes for signals to traverse the channel due to multipath. The two are related by the following approximation: Coherence Bandwidth ≈ 1/(delay spread time) Or, Coherence Bandwidth ≈ 1/(root-mean-square delay spread time) (Coherence bandwidth in Hertz) For instance, if the root-mean-square delay spread is 500 ns (i.e., {1/(2*10^6)} seconds), the coherence bandwidth is approximately 2 MHz (1 / 500e-9) in ...

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 ...