Skip to main content

Coherence Bandwidth and Coherence Time



For Doppler Delay or Multi-path Delay

Coherence time
Tcoh ∝ 1 / vmax (For slow fading, coherence time Tcoh is greater than the signaling interval.)

Coherence bandwidth
Wcoh ∝ 1 / Ï„max (For frequency-flat fading, coherence bandwidth Wcoh is greater than the signaling bandwidth.)


Where:

  • Tcoh = coherence time
  • Wcoh = coherence bandwidth
  • vmax = maximum Doppler frequency (or maximum Doppler shift)
  • Ï„max = maximum excess delay (maximum time delay spread)

Notes:

  • The notation vmax−1 and Ï„max−1 indicate inverse proportionality.
  • Doppler spread refers to the range of frequency shifts caused by relative motion, determining Tcoh.
  • Delay spread (or multipath delay spread) determines Wcoh.
  • Frequency-flat fading occurs when Wcoh is greater than the signaling bandwidth.

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 a household indoor environment.

For narrowband approximation:

Coherence Bandwidth ≈ 1/root-mean-square delay spread time

 

Frequency Auto-correlation Function

The frequency auto-correlation function RH(Δf) of the channel transfer function H(f) is defined as:

RH(Δf) = E{H(f)H*(f+Δf)}

E{⋅} denotes the expectation operator, and H*(f) is the complex conjugate of H(f).

  • The Coherence Bandwidth (B_c) is precisely derived from this function. It's defined as the maximum Δf for which R_H(Δf) remains above a certain threshold (e.g., 0.5 or 1/e of its peak value).

  • This threshold indicates the point where the channel response at f and f + Δf becomes sufficiently "uncorrelated" or "different" that they can no longer be considered "coherently" related.

 

Coherence Bandwidth Definition

The coherence bandwidth is often defined as the frequency separation Δf over which the auto-correlation function RH(Δf) drops to a certain fraction of its maximum value, typically 0.5 or 1/e:

Bc ≈ 1 / (β * Tm)

Where Tm is the root-mean-square delay spread time, which characterizes the extent of multi-path propagation, and β is a constant (e.g., 5 for a 0.5 correlation drop or 2π for other definitions).

 

Coherence Time

Coherence time represents the duration for which the channel conditions remain approximately constant. It describes the amount of time during which the wireless channel's characteristics, including phase, amplitude, and delay, can be considered relatively stable.

The relationship between coherence time and Doppler spread is inverse. A larger Doppler spread (faster change) corresponds to a shorter coherence time and vice versa.

 

Time Auto-correlation Function

The time auto-correlation function Rh(Δt) of the channel impulse response h(t) is defined as:

Rh(Δt) = E{h(t)h*(t+Δt)}

E{⋅} denotes the expectation operator, and h*(t) is the complex conjugate of h(t).

  • The Coherence Time (T_c) is precisely derived from this function. It's defined as the maximum Δt for which R_H(Δt) remains above a certain threshold (e.g., 0.5 or 1/e of its peak value).

  • This threshold indicates the point where the channel response at t and t + Δt becomes sufficiently "uncorrelated" or "different" that they can no longer be considered "coherently" related.

 

Coherence Time Definition

The coherence time is often defined as the time lag Δt over which the auto-correlation function Rh(Δt) drops to a certain fraction of its maximum value, typically 0.5 or 1/e:

Tc ≈ 1 / fD

Where fD is the Doppler spread, which characterizes the rate of change of the channel due to relative motion.

If a vehicle is moving at 30 m/s and the carrier frequency is 2 GHz:

fD = v * f / c = (30 * 2 * 10^9) / (3 * 10^8) = 200 Hz

So, the coherence time using the general approximation is 1 / (200) = 5 ms (approx).

 

MATLAB Code Example for Approximating Coherence Time and Bandwidth

% The code is written by SalimWireless.Com
clc;
clear all;
close all;

% Example: Define Doppler Spread and RMS Delay Spread directly for approximation
% (In a real scenario, these would be measured or estimated from channel data)

% --- Parameters for Coherence Time ---
vehicle_speed = 30; % m/s
carrier_frequency = 2e9; % Hz (2 GHz)
speed_of_light = 3e8; % m/s

doppler_spread = (vehicle_speed * carrier_frequency) / speed_of_light; % Hz

% Approximate Coherence Time (Tc ~ 1/fD)
coherence_time_approx = 1 / doppler_spread; % seconds

disp(['Doppler Spread (fD): ', num2str(doppler_spread), ' Hz']);
disp(['Approximate Coherence Time (Tc): ', num2str(coherence_time_approx), ' seconds']);

% --- Parameters for Coherence Bandwidth ---
rms_delay_spread = 500e-9; % seconds (e.g., 500 ns)

% Approximate Coherence Bandwidth (Bc ~ 1/rms_delay_spread, using a common factor like 1/5)
% A typical constant 'beta' is often used, for example, 5 for 0.5 correlation drop
beta_for_Bc = 5;
coherence_bandwidth_approx = 1 / (beta_for_Bc * rms_delay_spread); % Hz

disp(['RMS Delay Spread (Tm): ', num2str(rms_delay_spread), ' seconds']);
disp(['Approximate Coherence Bandwidth (Bc): ', num2str(coherence_bandwidth_approx), ' Hz']);
 

Output from the MATLAB Code above

Doppler Spread (fD): 200 Hz

Approximate Coherence Time (Tc): 0.005 seconds

RMS Delay Spread (Tm): 5e-07 seconds

Approximate Coherence Bandwidth (Bc): 400000 Hz

 

Relationship between Coherence Time and Doppler Spread, and Coherence Bandwidth and Delay Spread

The coherence time of a wireless channel is inversely proportional to its Doppler spread. Doppler spread refers to the range of Doppler shifts experienced by different multipath components, indicating how rapidly the channel changes due to motion.

Conversely, the coherence bandwidth of a wireless channel is inversely proportional to its delay spread. Delay spread refers to the time difference between the arrival of the first and last significant multipath components of a signal, indicating the frequency selectivity of the channel.

The relationship between coherence time (Tc) and Doppler spread (fD) can be approximated using the formula:

Tc ≈ 1 / fD

And for coherence bandwidth (Bc) and delay spread (Tm):

Bc ≈ 1 / (β ⋅ Tm)

Where β is a factor depending on the specific characteristics of the wireless environment and the correlation level considered, typically ranging from 1 to 5 or 2π.

 

MATLAB Code Example for Coherence Time Approximation (based on Doppler Spread)

% The code is written by SalimWireless.Com
clc;
clear all;
close all;

% Define parameters for Doppler Spread
vehicle_speed = 30; % m/s
carrier_frequency = 2e9; % Hz (2 GHz)
speed_of_light = 3e8; % m/s

% Calculate Doppler spread
doppler_spread = (vehicle_speed * carrier_frequency) / speed_of_light;

% Calculate coherence time using approximation
coherence_time = 1 / doppler_spread;

% Display coherence time
disp(['Calculated Doppler Spread (fD): ', num2str(doppler_spread), ' Hz']);
disp(['Approximate Coherence Time (Tc): ', num2str(coherence_time), ' seconds']);
 

Output from the MATLAB Code above

Calculated Doppler Spread (fD): 200 Hz

Approximate Coherence Time (Tc): 0.005 seconds

 

Further Reading

  1. Relationship Between Fading, Coherence Time, and Coherence Bandwidth
  2. Example of coherence time in wireless communication
  3. Further study on time-bandwidth product
  4. Slow fading vs. fast fading
  5. Flat fading vs. Frequency Selective fading 

People are good at skipping over material they already know!

View Related Topics to







Contact Us

Name

Email *

Message *

Popular Posts

Constellation Diagram of ASK in Detail

A binary bit '1' is assigned a power level of E b \sqrt{E_b}  (or energy E b E_b ), while a binary bit '0' is assigned zero power (or no energy).   Simulator for Binary ASK Constellation Diagram SNR (dB): 15 Run Simulation Noisy Modulated Signal (ASK) Original Modulated Signal (ASK) Energy per bit (Eb) (Tb = bit duration): We know that all periodic signals are power signals. Now we’ll find the energy of ASK for the transmission of binary ‘1’. E b = ∫ 0 Tb (A c .cos(2П.f c .t)) 2 dt = ∫ 0 Tb (A c ) 2 .cos 2 (2П.f c .t) dt Using the identity cos 2 x = (1 + cos(2x))/2: = ∫ 0 Tb ((A c ) 2 /2)(1 + cos(4П.f c .t)) dt ...

Periodogram in MATLAB

Power Spectral Density Estimation Using the Periodogram Step 1: Signal Representation Let the signal be x[n] , where: n = 0, 1, ..., N-1 (discrete-time indices), N is the total number of samples. Step 2: Compute the Discrete-Time Fourier Transform (DTFT) The DTFT of x[n] is: X(f) = ∑ x[n] e -j2Ï€fn For practical computation, the Discrete Fourier Transform (DFT) is used: X[k] = ∑ x[n] e -j(2Ï€/N)kn , k = 0, 1, ..., N-1 k represents discrete frequency bins, f_k = k/N * f_s , where f_s is the sampling frequency. Step 3: Compute Power Spectral Density (PSD) The periodogram estimates the PSD as: S_x(f_k) = (1/N) |X[k]|² S_x(f_k) ...

MATLAB Code for Rms Delay Spread

RMS delay spread is crucial when you need to know how much the signal is dispersed in time due to multipath propagation, the spread (variance) around the average. In high-data-rate systems like LTE, 5G, or Wi-Fi, even small time dispersions can cause ISI. RMS delay spread is directly related to the amount of ISI in such systems. RMS Delay Spread [↗] Delay Spread Calculator Enter delays (ns) separated by commas: Enter powers (dB) separated by commas: Calculate   The above calculator Converts Power to Linear Scale: It correctly converts the power values from decibels (dB) to a linear scale. Calculates Mean Delay: It accurately computes the mean excess delay, which is the first moment of the power delay profile. Calculates RMS Delay Spread: It correctly calculates the RMS delay spread, defined as the square root of the second central moment of the power delay profile.   MATLAB Code  clc...

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 ...

UGC NET Electronic Science Previous Year Question Papers

Home / Engineering & Other Exams / UGC NET 2022: Previous Year Question Papers ... UGC-NET (Electronics Science, Subject code: 88) UGC Net Electronic Science Question Paper With Answer Key Download Pdf [December 2024]  UGC Net Paper 1 With Answer Key Download Pdf [Sep 2024] with full explanation UGC Net Electronic Science Question Paper With Answer Key Download Pdf [Sep 2024]  UGC Net Paper 1 With Answer Key Download Pdf [June 2023] with full explanation UGC Net Electronic Science Question Paper With Answer Key Download Pdf [December 2023] with full explanation UGC Net Electronic Science Question Paper With Answer Key Download Pdf [June 2023] UGC Net Electronic Science Question Paper With Answer Key Download Pdf [December 2022] UGC Net Electronic Science Question Paper With Answer Key Download Pdf [June 2022] UGC Net Electronic Science Question Paper With Answer Key Download Pdf [December 2021] ...

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 ...

5G Channel Estimation using Orthogonal Matching Pursuit (OMP)

5G Channel Estimation... For millimeter wave massive MIMO communication in 5G, we observe that the number of available multipath that avails communication is much smaller than the maximum connections possible between the transmitter(TX) and receiver(RX). Only a few MPCs reach at receiver with good received signal strength. For example, the number of strong MPCs that reaches the receiver is L and there is N transmitter antenna on the transmitter side and N number of antennas on the receiver side. So, from the channel matrix of the massive MIMO system, we can say the total number of available paths or connections between TX and RX is equal to, N X N or, N^(2) Now, L << N^(2) For simplicity, if the number of possible strong beams from the transmitter and receiver sides are NtBeams and NrBeams, then, L = NtBeams * NrBeams If we look up the massive MIMO channel matrix , then, H= Primarily, if the number of available MPCs to avail communication bet...

MATLAB Code for ASK, FSK, and PSK

📘 Overview & Theory 🧮 MATLAB Code for ASK 🧮 MATLAB Code for FSK 🧮 MATLAB Code for PSK 🧮 Simulator for binary ASK, FSK, and PSK Modulations 📚 Further Reading ASK, FSK & PSK HomePage MATLAB Code MATLAB Code for ASK Modulation and Demodulation % The code is written by SalimWireless.Com % Clear previous data and plots clc; clear all; close all; % Parameters Tb = 1; % Bit duration (s) fc = 10; % Carrier frequency (Hz) N_bits = 10; % Number of bits Fs = 100 * fc; % Sampling frequency (ensure at least 2*fc, more for better representation) Ts = 1/Fs; % Sampling interval samples_per_bit = Fs * Tb; % Number of samples per bit duration % Generate random binary data rng(10); % Set random seed for reproducibility binary_data = randi([0, 1], 1, N_bits); % Generate random binary data (0 or 1) % Initialize arrays for continuous signals t_overall = 0:Ts:(N_bits...