Skip to main content
Home Wireless Communication Modulation MATLAB Beamforming Project Ideas MIMO Computer Networks

Doppler Delay

 

Doppler Shift Formula

When either the transmitter or the receiver is in motion, or when both are in motion, Doppler Shift is an essential parameter in wireless Communication. We notice variations in reception frequencies in vehicles, trains, or other similar environments. In plain language, the received signal frequency increases as the receiver moves toward the transmitter and drops as the receiver moves in the opposite direction of the transmitter. This phenomenon is called the Doppler shift or Doppler spread.


Doppler Shift Formula:

By equation,                fR = fT (+/-) fD

                                     fR= receiving frequency
                                     fT= transmitted frequency
                                     fD= Doppler frequency
We frequently see an increase or decrease in reception frequencies due to the equation. Now, the Doppler frequency is bounded by several rules, 


Doppler shift of LOS path: ν1 = fc*v/c, 

Doppler shift of reflected path: ν2fc*v/c*cos(theta)

where, c = speed of light
v = speed of the vehicle

Doppler spread: ν2 − ν1

Or, Doppler spread, fD = |v/lambda * {cos(theta) - 1}|, 

** '|' indicates mod

where, v = velocity of vehicle

            lambda = wavelength = c/frequency

For example, when MS (in motion) reaches towards BS, cos = cos(0 degrees)=1, and when MS goes away from BS or base station, cos = cos(180 degrees)=-1.

As a result of the preceding equation, the receiving frequency increases if the receiver moves towards the receiver.

fT+fD, here frequency increases as fR = fT + fD
                                                      or, fR = fT + v/lambda * 1
                                                       or, fR =fT + v/lambda
                                                Here, lambda = wavelength of operating frequency

Similarly, when the receiver moves away from BS or the cell tower, the frequency decreases by v/lambda* cos ( 180 degrees) or v/lambda * (-1), as cos180 = -1. So, now the received frequency at the receiver side is,

fR = fT - fD 


Doppler Shift vs Doppler Spread

1. Doppler Shift:
The term "Doppler Shift" refers to a wave's shift in frequency as it relates to an observer moving with respect to the wave source.
The amount that the frequency has changed due to relative motion is represented by a single number.
The Doppler shift, for example, is the difference between the transmitted and received frequencies of a radar signal when it reflects off a moving object.

2. Doppler Spread: 
This is the range of frequency shifts (Doppler shifts) that happen in a multipath environment or when a signal is scattered by several moving objects.
The signal's spectral broadening brought on by these numerous Doppler shifts is indicated by Doppler spread.It affects the channel's coherence time and is a measure of the variance or dispersion of the Doppler shifts. High Doppler spread indicates quick changes in the channel's properties, which may have an impact on the efficiency of a communication system.

To sum up, Doppler spread measures the range of frequency shifts brought on by multipath propagation and the relative motion of multiple scatterers, whereas Doppler shift is a single frequency change resulting from relative motion. 
    

MATLAB Code for Doppler Shift vs Doppler Spread

clc;
clear;
close all;

% Constants
c = 3e8; % Speed of light in m/s (for electromagnetic waves)
f0 = 2.4e9; % Original frequency in Hz (e.g., 2.4 GHz for WiFi)

% Relative velocities (in m/s) for different objects
velocities = [-30, -10, 0, 10, 20]; % Example velocities of objects

% Calculate Doppler Shifts
doppler_shifts = (velocities / c) * f0;

% Calculate Doppler Spread
doppler_spread = max(doppler_shifts) - min(doppler_shifts);

% Display results
fprintf('Relative velocities (in m/s) for different vehicles:\n');
disp(velocities);
fprintf('Doppler Shifts (Hz):\n');
disp(doppler_shifts);
fprintf('Doppler Spread (Hz): %f\n', doppler_spread);

Output 

 Relative velocities (in m/s) for different vehicles:
   -30   -10     0    10    20

Doppler Shifts (Hz):
  -240   -80     0    80   160

Doppler Spread (Hz): 400.000000
 

Copy the MATLAB Code from here

 
 

How Doppler Spread Affects Communication

The Doppler spread causes fading in wireless Communication. Fading occurs when the received power fluctuates or decreases at the receiver side for a short or large amount of time. Fast and slow fading in wireless channels is caused by Doppler spread. All of those topics have already been covered in another article. Please read the full article.

For practical communication systems, if the received symbol or signal is R[t,f], then

R[t, f] = S(Ï„)*h(Ï„, f)*exp(2*pi*(t - Ï„))

where S(Ï„) is the transmitted signal with some delay Ï„

h(Ï„, f) is the Doppler delay channel impulse (DD-CIR) response which characterizes how the signal's amplitude and phase change with respect to time delay Ï„ and frequency f

exp(2*pi*(t - Ï„)) represents the phase shift due to the Doppler effect


Also, read about

[1] Fading - Slow & Fast and Large & Small Scale Fading



People are good at skipping over material they already know!

View Related Topics to







Admin & Author: Salim

profile

  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

Channel Estimation utilizing Decision Feedback Equalizer (DFE)

  Channel estimation using DFE is a similar process to a non-linear equalization process. In DFE (decision feed equalizer), equalization error bits/symbols between the feedforward tabs and feedback taps are calculated continuously. And equalizer's tap weights tap weights are updated correspondingly.  In plain language, the error between the received bits and known training bits is calculated, and tap weights are updated accordingly. The equalizer estimates the channel impulse response (CIR) .  Once we find the channel impulse response or channel information, we can easily retrieve the original message signal from the noisy data. In the communication process, the whole system is modeled as a linear time-invariant (LTI) system. And  y = h*x + n where, y = received signal            x = transmitted signal           n = additive white Gaussian noise [Read more about the Linear time-invariant (LTI) system and convolu...

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

Modulation Constellation Diagrams BER vs. SNR MATLAB code for BER vs SNR for M-QAM, M-PSK, QPSk, BPSK, ...   MATLAB Script for  BER vs. SNR for M-QAM, M-PSK, QPSk, BPSK %Written by Salim Wireless %Visit www.salimwireless.com for study materials on wireless communication %or, if you want to learn how to code in MATLAB clc; clear; close all; % Parameters num_symbols = 1e5; % Number of symbols snr_db = -20:2:20; % Range of SNR values in dB % PSK orders to be tested psk_orders = [2, 4, 8, 16, 32]; % QAM orders to be tested qam_orders = [4, 16, 64, 256]; % Initialize BER arrays ber_psk_results = zeros(length(psk_orders), length(snr_db)); ber_qam_results = zeros(length(qam_orders), length(snr_db)); % BER calculation for each PSK order and SNR value for i = 1:length(psk_orders) psk_order = psk_orders(i); for j = 1:length(snr_db) % Generate random symbols data_symbols = randi([0, psk...

MATLAB Codes for Various types of beamforming | Beam Steering, Digital...

Beamforming Techniques MATLAB Codes for Beamforming... The mathematical [↗] and theoretical aspects of beamforming [↗] have already been covered. We'll talk about coding in MATLAB in this tutorial so that you may generate results for different beamforming approaches. Let's go right to the content of the article. In analog beamforming, certain codebooks are employed on the TX and RX sides to select the best beam pairs. Because of their beamforming gains, communication created through the strongest beams from both the TX and RX side enhances spectrum efficiency. Additionally, beamforming gain directly impacts SNR improvement. Wireless communication system capacity = bandwidth*log2(1+SNR) bits/s. Thus, the capacity or overall throughput of the system increases. MATLAB Script %Written by Salim Wireless %Visit www.salimwireless.com for study materials on wireless communication %or, if you want to learn how to code in MATLAB clear all;...

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.  Formula for BER: BER=Q(...

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

Modulation Constellation Diagrams BER vs. SNR BER vs SNR for M-QAM, M-PSK, QPSk, BPSK, ... 1. 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 refers to the signal-to-noise power ratio. For ease of calculation, we commonly convert it to dB or decibels.   2. What is Signal the signal-to-noise ratio (SNR)? SNR = signal power/noise power (SNR is a ratio of signal power to noise power) SNR (in dB) = 10*log(signal power / noise power) [base 10] For instance, the SNR for a given communication system is 3dB. So, SNR (in ratio) = 10^{SNR (in dB) / 10} = 2 Therefore, in this instance,...

Constellation Diagrams of ASK, PSK, and FSK

Modulation ASK, FSK & PSK Constellation 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: +√Eb​ or -√Eb (they differ by 180 degree phase shift), where Eb​ is the energy per bit. These signals represent binary 0 and 1.  This article will primarily discuss constellation diagrams, as well as what constellation diagrams tell us and the significance of constellation diagrams. Constellation diagrams can often demonstrate how the amplitude and phase of signals or symbols differ. These two characteristics lessen the interference between t...

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

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 Performance Comparison: 1. Noise Sensitivity:    - ASK is the most sensitive to noise due to its reliance on amplitude variations.    - PSK is less sensitive to noise compared to ASK.    - FSK is relatively more robust against noise, making it suitable for noisy environments. 2. Bandwidth Efficiency:    - PSK is the most bandwidth-efficient, requiring less bandwidth than FSK for the same data rate.    - FSK requires wider bandwidth compared to PSK.    - ASK's bandwidth efficiency lies between FSK and PSK. Bandwidth Calculator for ASK, FSK, and PSK The baud rate represents the number of symbols transmitted per second Select Modulation Type: ASK...

Constellation Diagram of PSK in Detail

        Fig 1: Constellation Diagram of PSK    In the above figure, the binary bit '1' is represented by S1(t) and the binary bit '0' by S2(t), respectively. So, energy of S1(t) = (√(Eb))2 = Eb So, energy of S2(t) = (-√(Eb))2 = Eb Distance between the signaling points, d12 = 2(√(Eb))   Energy per bit for binary '1' and binary '0'           High-order PSK (e.g., 8 PSK, 16 PSK) can transmit more bits per symbol but is more sensitive to noise. Low-order PSK (e.g., BPSK, QPSK) is less susceptible to noise. PSK modulation can be visualized using a constellation diagram, where each point represents a symbol. In the presence of noise, points may be away from the original positions, making them harder to distinguish.