Skip to main content

Rules for Selecting DC Bias in DCO-OFDM


Key characteristics of DCO-OFDM include:

  • Intensity Modulation and Direct Detection (IM/DD)
  • Hermitian symmetry to generate real-valued signals
  • DC bias addition to ensure signal non-negativity
  • Bottom clipping of residual negative samples
Therefore, this is standard baseband IM/DD DCO-OFDM used in VLC systems.

1. Mathematical Signal Model

Unbiased OFDM Signal

After applying Hermitian symmetry and IFFT, the time-domain OFDM signal is approximately Gaussian:

x₀(t) ~ N(0, σₓ²)

where σₓ² is the variance of the unclipped OFDM signal.

DC Bias Definition

The DC bias is defined as:

B_DC = μ √E{x(t)²} = μ σₓ

In decibels:

B_DC(dB) = 10 log₁₀(μ²)

where:

  • μ is the DC bias scaling factor
  • σₓ is the standard deviation of the OFDM signal

Clipping Operation

After adding DC bias, the signal is clipped to enforce non-negativity:

x(t) =
{
  x₀(t) + B_DC ,  if x₀(t) + B_DC > 0
  0             ,  otherwise
}

This asymmetric clipping is a defining feature of DCO-OFDM.


2. Classification of the DCO-OFDM Scheme

Aspect Type
DetectionIM/DD
CarrierBaseband
Optical SourceLED
BiasingFixed DC Bias
ClippingBottom Clipping
OFDM VariantElectrical OFDM → Optical OFDM
ApplicationVisible Light Communication

3. Rules for Selecting DC Bias

The selection of DC bias is critical due to the trade-off between clipping distortion and optical power efficiency.

Rule 1: Bias Relative to Signal Variance

The DC bias is typically chosen as a multiple of the signal standard deviation:

B_DC = μ σₓ

Common values used in literature:

μ ValueBias Level
2.0High clipping distortion
2.5Balanced (commonly used)
3.0Low clipping, low power efficiency

Rule 2: Clipping Probability Constraint

Bias is selected to keep the clipping probability small:

P_clip = P(x₀(t) + B_DC < 0) = Q(μ)
  • μ = 2.5 → Pclip ≈ 0.6%
  • μ = 3.0 → Pclip ≈ 0.13%

Rule 3: LED Dynamic Range Constraint

The biased signal must remain within the LED operating range:

I_min ≤ x₀(t) + B_DC ≤ I_max

Excessive bias causes upper clipping, while insufficient bias increases lower clipping distortion.


4. Power Efficiency Limitation of DCO-OFDM

As the modulation order increases:

  • Signal variance σₓ² increases
  • Required DC bias increases
  • Optical power efficiency decreases
  • LED nonlinearity becomes more significant

This makes DCO-OFDM less suitable for power-limited VLC applications.


5. Comparison with ACO-OFDM

Feature DCO-OFDM ACO-OFDM
DC BiasRequiredNot required
Power EfficiencyLowHigh
Spectral EfficiencyHighLow
Clipping NoiseBoth sidesEven subcarriers only
VLC SuitabilityModerateHigh

Summary

The described scheme is standard IM/DD baseband DCO-OFDM for VLC, where DC bias selection is governed by a trade-off between clipping distortion, power efficiency, and LED dynamic range.

Further Reading



Contact Us

Name

Email *

Message *

Popular Posts

Q-function in BER vs SNR Calculation (with Simulation)

Q-function in BER vs. SNR Calculation In digital communications and signal processing, the Q-function plays a significant role in predicting system reliability. It allows engineers to quantify the probability that Gaussian noise will exceed a specific threshold, causing a bit error. What is the Q-function? The Q-function is a mathematical function representing the tail probability of the standard normal (Gaussian) distribution. It is the complementary cumulative distribution function (CCDF) of a standard Gaussian distribution. Q(x) = (1 / √(2Ï€)) ∫â‚“∞ e^(-t² / 2) dt Q-Function Interactive Simulator Move the slider to see how the "Tail Probability" (the area in red) changes. This area represents the Probability of Error (BER) . Threshold Distance ( x ) — (Simulates Increasing SNR) x = 1.0 Q(x) = 0.1587 ...

Design of CMOS Flip-Flops (SR, D, JK)

Design of CMOS Flip-Flops (SR, D, JK) A flip-flop or latch is a circuit with two stable states, used to store state information. It is the basic storage element in sequential logic and a fundamental building block in digital electronics systems, including computers and communication devices. Flip-flops and latches act as data storage elements for states, pulse counting, and synchronization of variably-timed input signals to a reference clock. Flip-flops can be transparent/opaque (latches) or clocked (synchronous, edge-triggered). Latches are level-sensitive, while flip-flops are edge-sensitive. In sequential logic, the output depends on current inputs and previous states. Fig.1 shows a sequential circuit combining a combinational block and a memory element. ...

Pulse Width Modulation (PWM)

Pulse-width modulation (PWM), or pulse-duration modulation (PDM), is a method of controlling the average power delivered by an electrical signal.   Fig: An example of PWM in an idealized inductor driven by a blue line voltage source modulated as a series of sawtooth pulses, resulting in a red line current in the inductor.    Generating a PWM Signal The simplest way to generate a PWM signal is the intersection method, which requires only a sawtooth or a triangle waveform (easily generated using a simple oscillator) and a comparator. When the value of the reference signal is more than the modulation waveform, the PWM signal (magenta) is in the high state; otherwise, it is in the low state.      Duty cycle A low duty cycle equates to low power because the power is off for most of the time; the word duty cycle reflects the ratio of "on" time to the regular interval or "period" of time. The duty cycle is measured in percent, with 100% representing full o...

BER vs SNR for M-ary QAM, M-ary PSK, QPSK, BPSK, ...(MATLAB Code + Simulator)

Bit Error Rate (BER) & SNR Guide Analyze communication system performance with our interactive simulators and MATLAB tools. 📘 Theory 🧮 Simulators 💻 MATLAB Code 📚 Resources BER Definition SNR Formula BER Calculator MATLAB Comparison 📂 Explore M-ary QAM, PSK, and QPSK Topics ▼ 🧮 Constellation Simulator: M-ary QAM 🧮 Constellation Simulator: M-ary PSK 🧮 BER calculation for ASK, FSK, and PSK 🧮 Approaches to BER vs SNR What is Bit Error Rate (BER)? The BER indicates how many corrupted bits are received compared to the total number of bits sent. It is the primary figure of merit f...

FFT Butterfly Method Explained (with Example of 4-point DFT)

  FFT Using Butterfly Method Given: x[n] = {0, 1, 2, 3} Step 1: Split into Even & Odd Even indices: x e = {0, 2} Odd indices: x o = {1, 3} Step 2: 2-point DFT For any {a, b}: DFT = {a + b, a - b} Even Part: E = {0+2, 0-2} = {2, -2} Odd Part: O = {1+3, 1-3} = {4, -2} Step 3: Combine Using Butterfly X[k] = E[k] + W k O[k] X[k + N/2] = E[k] - W k O[k] For N = 4: W 0 = 1 W 1 = -j Final Calculations X[0] = 2 + 4 = 6 X[2] = 2 - 4 = -2 X[1] = -2 + (-j)(-2) = -2 + 2j X[3] = -2 - (-j)(-2) = -2 - 2j Final Answer: X[k] = {6, -2 + 2j, -2, -2 - 2j} Try Interactive Online Simulations Interactive FFT Online Simulator (For understanding Fundamentals)  Interactive FFT Online Simulator (Analyze .CSV, .MP3, .MP4, etc. Further Reading Fourier Transform OFDM Return to Fourier Transform Main Page →

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: \[ s(t) = \begin{cases} A_c \cos(2\pi f_1 t), & \text{for } m = 1 \\ A_c \cos(2\pi f_2 t), & \text{for } m = 0 \end{cases} \] ...

AM Modulation Online Simulator

Amplitude Modulation Simulator s AM (t) = A c [1 + k a m(t)] cos(ω c t) where, ω = 2πf & k a = Amplitude Sensitivity Modulation index, μ = k a A m Message Frequency (fm): Carrier Frequency (fc): Carrier Amplitude (Ac): Modulation Index (m = Am / Ac):

Online Simulator for ASK, FSK, and PSK

Interactive Digital Signal Processing (DSP) Tutorial and Simulator for ASK, FSK, and BPSK modulation techniques. Try our new Digital Signal Processing Simulator!   •   Interactive ASK, FSK, and BPSK tools updated for 2025. Start Now Digital Modulation Visualizer: ASK, FSK, & BPSK Simulator Learn and visualize binary modulation techniques (ASK, FSK, BPSK) in real-time with adjustable carrier and sampling parameters. Perfect for DSP students and engineers. 📡 ASK Simulator 📶 FSK Simulator 🎚️ BPSK Simulator 📚 More Topics ASK Modulator FSK Modulator BPSK Modulator More Topics 1. ASK (Amplitude Shift Keying) Simulat...