Skip to main content

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







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...

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...

MIMO Channel Matrix | Rank and Condition Number

MIMO / Massive MIMO MIMO Channel Matrix | Rank and Condition...   The channel matrix in wireless communication is a matrix that describes the impact of the channel on the transmitted signal. The channel matrix can be used to model the effects of the atmospheric or underwater environment on the signal, such as the absorption, reflection or scattering of the signal by surrounding objects. When addressing multi-antenna communication, the term "channel matrix" is used. Let's assume that only one TX and one RX are in communication and there's no surrounding object. Here, in our case, we can apply the proper threshold condition to a received signal and get the original transmitted signal at the RX side. However, in real-world situations, we see signal path blockage, reflections, etc.,  (NLOS paths [↗]) more frequently. The obstruction is typically caused by building walls, etc. Multi-antenna communication was introduced to add...

Online Simulator for ASK, FSK, and PSK

Try our new Digital Signal Processing Simulator!   Start Simulator for binary ASK Modulation Message Bits (e.g. 1,0,1,0) Carrier Frequency (Hz) Sampling Frequency (Hz) Run Simulation Simulator for binary FSK Modulation Input Bits (e.g. 1,0,1,0) Freq for '1' (Hz) Freq for '0' (Hz) Sampling Rate (Hz) Visualize FSK Signal Simulator for BPSK Modulation ...

Theoretical vs. simulated BER vs. SNR for ASK, FSK, and PSK

📘 Overview 🧮 Simulator for calculating BER 🧮 MATLAB Codes for calculating theoretical BER 🧮 MATLAB Codes for calculating simulated BER 📚 Further Reading BER vs. SNR denotes how many bits in error are received for a given signal-to-noise ratio, typically measured in dB. Common noise types in wireless systems: 1. Additive White Gaussian Noise (AWGN) 2. Rayleigh Fading AWGN adds random noise; Rayleigh fading attenuates the signal variably. A good SNR helps reduce these effects. Simulator for calculating BER vs SNR for binary ASK, FSK, and PSK Calculate BER for Binary ASK Modulation Enter SNR (dB): Calculate BER Calculate BER for Binary FSK Modulation Enter SNR (dB): Calculate BER Calculate BER for Binary PSK Modulation Enter SNR (dB): Calculate BER BER vs. SNR Curves MATLAB Code for Theoretical BER % The code is written by SalimWireless.Com clc; clear; close all; % SNR v...

Channel Impulse Response (CIR)

📘 Overview & Theory 📘 How CIR Affects the Signal 🧮 Online Channel Impulse Response Simulator 🧮 MATLAB Codes 📚 Further Reading What is the Channel Impulse Response (CIR)? The Channel Impulse Response (CIR) is a concept primarily used in the field of telecommunications and signal processing. It provides information about how a communication channel responds to an impulse signal. It describes the behavior of a communication channel in response to an impulse signal. In signal processing, an impulse signal has zero amplitude at all other times and amplitude ∞ at time 0 for the signal. Using a Dirac Delta function, we can approximate this. Fig: Dirac Delta Function The result of this calculation is that all frequencies are responded to equally by δ(t) . This is crucial since we never know which frequenci...

Coherence Bandwidth and Coherence Time

🧮 Coherence Bandwidth 🧮 Coherence Time 🧮 Coherence Time Calculator 🧮 Relationship between Coherence Time and Delay Spread 🧮 MATLAB Code to find Relationship between Coherence Time and delay Spread 📚 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  The inverse of Doppler spread delay time, or any spread delay time due to fading in general.  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. The two are related by the following formulae: Coherence bandwidth = 1/(delay spread time) Or, Coherence Bandwidth = 1/(root-mean-square delay spread time) (Coherence bandwidth in Hertz) For instance, the coherence bandwidth is...

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...