Skip to main content

Coherence Bandwidth and Coherence Time (with MATLAB + Simulator)



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).

In practice, Tc is often defined where the correlation drops to 0.5. A common rigorous approximation is Tc ≈ 0.423 / fD,max for Clarke's model.

 

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.

  • In practice, Tc is often defined where the correlation drops to 0.5. A common rigorous approximation is Tc ≈ 0.423 / fd,max for Clarke's model.

 

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



Contact Us

Name

Email *

Message *

Popular Posts

Hybrid Beamforming | Page 1

Beamforming Techniques Hybrid Beamforming... Page 1 | Page 2 | Hybrid Beamforming: Hybrid beam formation was developed to address some of the limitations of digital pre-coding approaches. Every antenna element is connected to an RF chain in digital pre-coding (beam forming) method. We also know that each RF chain is in charge of providing a separate data stream between the transmitter and the receiver. We know that a larger number of independent data streams leads to higher data rates. It has a spatial multiplexing feature for MIMO. As a result, we may assume that switching from MIMO to massive MIMO will benefit us more in terms of spatial multiplexing in massive MIMO, where each antenna is coupled to a single RF chain. We'll proceed with a definition of hybrid beam forming. Overview of hybrid beam forming with example: Unlike digital beam forming, more than one antenna element is connected to a single RF chain in hybr...

MATLAB Code for 8-PSK, 16-PSK, ...

📘 Overview & Theory 🧮 MATLAB Code for BPSK, QPSK, 8-PSK, 16-PSK, 32-PSK 🧮 Simulator for m-ary PSK 📚 Further Reading   MATLAB Code for BPSK, QPSK, 8-PSK, 16-PSK, 32-PSK clc; clear all; close all; rng(10) M = 8; % M = 2, 4, 8, 16, 32, etc. N_Bits = 2520; Phase = 0; data_info_bit = randi([0,1],N_Bits,1); data_temp = bi2de(reshape(data_info_bit,N_Bits/log2(M),log2(M))); modData = pskmod(data_temp,M,Phase); figure(1); scatterplot(modData); channelAWGN = 15; rxData2 = awgn(modData, channelAWGN); figure(2); scatterplot(rxData2); demodData = pskdemod(rxData2,M,Phase);   for BPSK, Constellation Size, M = 2 for QPSK, M = 4 for 8-PSK, M = 8, and so on    Output Figure: 8-PSK Modulation Figure: 8-PSK Demodulation after adding AWGN Noise Using the above MATLAB code you'll able be to modulate and demodulate 2-PSK, 4-PSK, 8-PSK, 16-PSK, 32-PSK and so on.  16-PSK   Fig: 16-PSK In this above code ' M ' is the number of the conste...

UGC NET Electronic Science Previous Year Question Papers with Solutions

Home / Engineering & Other Exams / UGC NET 2026 PYQ ⬇️ Download Papers and Solutions 📋 Exam Pattern 💡 Preparation Tips ❓ FAQs 📊 Exam Highlights: Electronic Science (88) Feature Details Junior Research Fellowship (JRF) ₹37,000 + HRA per month Eligibility M.Sc/M.Tech in Electronics (55%) Validity of Certificate JRF (3 Years) | Lectureship (Lifetime) 📥 Download UGC NET Electronics PDFs Complete collection of previous year question papers, answer keys and explanations for Subject Code 88. Start Downloading 📂 View All Question Papers June 2025 - Question Paper Download PDF June 2025 - Solved Paper + Explanation ...

How Windowing Affects Your Periodogram

The windowed periodogram is a widely used technique for estimating the Power Spectral Density (PSD) of a signal. It enhances the classical periodogram by mitigating spectral leakage through the application of a windowing function. This technique is essential in signal processing for accurate frequency-domain analysis.   Power Spectral Density (PSD) The PSD characterizes how the power of a signal is distributed across different frequency components. For a discrete-time signal, the PSD is defined as the Fourier Transform of the signal’s autocorrelation function: S x (f) = FT{R x (Ï„)} Here, R x (Ï„)}is the autocorrelation function. FT : Fourier Transform   Classical Periodogram The periodogram is a non-parametric PSD estimation method based on the Discrete Fourier Transform (DFT): P x (f) = \(\frac{1}{N}\) X(f) 2 Here: X(f): DFT of the signal x(n) N: Signal length However, the classical periodogram suffers from spectral leakage due to abrupt truncation of the ...

Advanced M-ary Modulation Simulator: Constellation, min dist, Efficiency, SER, EVM (RMS)

Advanced M-ary Communication Lab Analytical & Statistical Performance of Digital Modulation Theoretical Probability of Error (\(P_s\)) \[ P_s = Q\left(\sqrt{\frac{2 E_b}{N_0}}\right) \] Modulation (M-ary) BPSK (M=2) QPSK (M=4) 8-PSK (M=8) 16-QAM (M=16) 64-QAM (M=64) 256-QAM (M=256) SNR (\(E_b/N_0\)): 12 dB Efficiency 2 bps/Hz Min Dist (\(d_{min}\)) 1.41 Symbol Error 1.2e-5 EVM (RMS) 0.0% Constellation Diagram Noise PDF & Decision Tail 1. Geometric Mapping ...

Frequency Shift Keying (FSK) Modulation & Demodulation (with Simulation)

Frequency Shift Keying (FSK) Theoretical Foundations: Frequency Shift Keying (FSK) is a discrete frequency modulation scheme wherein the digital information is encoded via instantaneous shifts in the carrier signal's frequency. The fundamental implementation is Binary FSK (BFSK), which maps binary data onto two distinct, discrete spectral states. A binary '1' (the "mark" state) is represented by a carrier frequency \( f_1 \), while a binary '0' (the "space" state) corresponds to frequency \( f_2 \). Each symbol is sustained for a bit interval denoted by \( T_b \). FSK Transmitter Characterization: The mathematical model for the modulated BFSK output \( s(t) \) is defined as: \[ s(t) = \begin{cases} A_c \cos(2\pi f_1 t), & \text{for } m = 1 \\ A_c \cos(2\pi f_2 t), & \text{for } m = 0 \end{cases} \] ...

OFDM Symbols and Subcarriers Explained

This article explains how OFDM (Orthogonal Frequency Division Multiplexing) symbols and subcarriers work. It covers modulation, mapping symbols to subcarriers, subcarrier frequency spacing, IFFT synthesis, cyclic prefix, and transmission. Step 1: Modulation First, modulate the input bitstream. For example, with 16-QAM , each group of 4 bits maps to one QAM symbol. Suppose we generate a sequence of QAM symbols: s0, s1, s2, s3, s4, s5, …, s63 Step 2: Mapping Symbols to Subcarriers Assume N sub = 8 subcarriers. Each OFDM symbol in the frequency domain contains 8 QAM symbols (one per subcarrier): Mapping (example) OFDM symbol 1 → s0, s1, s2, s3, s4, s5, s6, s7 OFDM symbol 2 → s8, s9, s10, s11, s12, s13, s14, s15 … OFDM sym...