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Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs) Submission Title: Update on VLC Link Budget Work Date Submitted: September 2009 Source: Rick Roberts [Intel], Zhengyuan Xu [University of California, Riverside] Address

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Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs)

Submission Title: Update on VLC Link Budget Work

Date Submitted: September 2009

Source: Rick Roberts [Intel], Zhengyuan Xu [University of California, Riverside]

Address

Voice: 503-712-5012, E-Mail: [email protected], [email protected]

Re:

Abstract: Update on the VLC link budget work. The one remaining issue is the calculation of the noise density.

Purpose:

Notice: This document has been prepared to assist the IEEE P802.15. It is offered as a basis for discussion and is not binding on the contributing individual(s) or organization(s). The material in this document is subject to change in form and content after further study. The contributor(s) reserve(s) the right to add, amend or withdraw material contained herein.

Release: The contributor acknowledges and accepts that this contribution becomes the property of IEEE and may be made publicly available by P802.15.

Roberts [Intel], Xu [UCR]


Vlc link budget

VLC Link Budget Area Networks (WPANs)

Roberts [Intel], Xu [UCR]


Outline
Outline Area Networks (WPANs)

Relation between radiometric and photometric parameters

Ascertaining the LED parameters of interest

Path loss due to light propagation

Received optical and electrical power

Receiver noise density

An example based on vendor data

Roberts [Intel], Xu [UCR]


Radiometric (Physical) vs. Photometric (Visual) Area Networks (WPANs)

Roberts [Intel], Xu [UCR]


The human eye and the detector diode have different frequency responses and hence perceive the same LED source differently.

A white LED spews optical power across a range of wavelengths (mW/Hz)

LED

Detector

Diode

Eyeball

Roberts [Intel], Xu [UCR]


Units frequency responses and hence perceive the same LED source differently.

For data link budgets we want to use Radiometric units

For illumination applications we want to use Photometric units (which include the frequency response of the human eye)

LED vendors generally only provide Photometric data since illumination is the market today and the use of LEDs for data is an obscure usage.

Roberts [Intel], Xu [UCR]


Ascertaining the LED parameters of interest frequency responses and hence perceive the same LED source differently.

On the following pages, equation (2.2.1) and Figure 2.1.1 are from the book Introduction to Solid-State Lighting by A. Zukauskas, et.al. The equation relates the power spectral distribution S() (W/nm) to luminous flux v (lm).

Roberts [Intel], Xu [UCR]


Find transmitted power and spectral density frequency responses and hence perceive the same LED source differently.

The LED total luminous flux Ft (lumens) is given as (2.2.1)

V() is the relative luminous efficiency function defined by CIE and given in the table (from internet) and curve (from the book Fig 2.1.1)

Fig 2.1.1

Sometimes it is convenient to use a Gaussian curve fitting for V() (from internet)

Roberts [Intel], Xu [UCR]


Warm White frequency responses and hence perceive the same LED source differently.

Neutral White

Cool White

H

L

Typically we only know a normalized spectral curve St’() instead of St() in (2.2.1). Denote their relation as St()=ct St’() with an unknown scaling factor ctthat can be found from

Remark:

The above step to find St() can be skipped if St() can be either measured using a spectrometer or supplied by the LED vendor.

Roberts [Intel], Xu [UCR]


Find transmitter luminous frequency responses and hence perceive the same LED source differently.spatial intensity distribution I0 gt()

A normalized spatial luminous intensity distribution gt() is provided by a vendor. We need to find the axial intensity I0 that is defined as the luminous intensity (candelas) on the axis of the source (zero solid angle). Since the luminous flux Ft is also a spatial integral of spatial luminous intensity in addition to spectral integral we used before, we have the following relation

where max and max are the source beam solid angle and maximum half angle respectively and

max=2(1-cosmax).

Note: if the axial intensity is provided by the vendor then one only need convert the intensity from candelas to watts/sr.

normalized spatial luminous intensity distribution

Roberts [Intel], Xu [UCR]


Path loss due to line-of-sight (LOS) light propagation frequency responses and hence perceive the same LED source differently.

Roberts [Intel], Xu [UCR]


LOS Link Model frequency responses and hence perceive the same LED source differently.

  • The receiver distance to the source is D

  • The receiver aperture radius is r and receiver area is Ar

  • The angle between receiver normal and source-receiver line is 

  • The angle between source beam axis and source-receiver line (viewing angle) is 

  • The solid angle of the receiver seen by the source is r

Roberts [Intel], Xu [UCR]


The luminous angular intensity of the source at the receiver direction is I0gt(), and therefore the receiver ingested luminous flux Fr=I0gt()r.

The luminous path loss can be represented as

where r is the receiver solid angle which satisfies Arcos()D2r .

Power path loss Lp can be proven equal to luminous path loss LL as follows:

  • Optical power can be written as

  • In LOS free space propagation, path loss is assumed independent of wavelength. Power path loss can be represented as Lp=S2()/S1()=P2/P1.

  • Luminous flux is related to S()as , which is linear with S()

  • Therefore, LL=F2/F1=Lp.

Roberts [Intel], Xu [UCR]


f direction is

where Sr() is the received light power spectral density (W/nm)

Rr() is the receiver filter spectral response

RD() is the detector responsivity (A/W at )

f

Find received optical and electrical power

Now that we have known the optical power loss due to LOS propagation, we can obtain the received optical spectral density from transmitter optical spectral density as

Received optical power

Suppose we use a photodiode detector to receive the signal light. We can obtain the electrical power of the signal as

The detector diode vendors are giving us the info we need

Roberts [Intel], Xu [UCR]


Exemplary Optical Filter Response direction is

ideal

typical

http://www.newport.com/images/webclickthru-EN/images/2226.gif

Roberts [Intel], Xu [UCR]


Summary of key steps to obtain received optical power and electrical power

  • Calculate transmitter (source) optical power from given luminous flux Ft (lumens) and normalized spectral curve St’()

  • Find the transmitter axial intensity I0 from given luminous flux Ftand luminous spatial intensity distribution gt()

  • Find receiver ingested luminous flux Fr from receiver solid angle and transmitter luminous spatial intensity distributionI0 gt()

  • Find the luminous path loss LLfrom Ft and Fr

  • Prove power path loss Lp is equal to luminous path loss LLfrom which to find received optical power spectral curve Sr()

  • Calculate received optical power and electrical power

Roberts [Intel], Xu [UCR]


Comment on RX aperture vs. magnification factor electrical power

It is the author’s opinion that the RX aperture determines the “brightness” of an observed object and that the field of view determines the magnification factor of an observed object. That is, for a given aperture the magnification factor determines how big an object appears but not how bright an object appears. The observed brightness is solely a function of the aperture size. It should be noted that the field of view, and hence the magnification factor, is a function of the focal distance.

Long focal distance

Short focal distance

Same aperture lens

Roberts [Intel], Xu [UCR]


Receiver Noise Density electrical power

Roberts [Intel], Xu [UCR]


  • Determining the noise density electrical powerNo

  • What are the sources that contribute to the noise density?

  • Photodetector Noise

  • Transimpedance Amplifier Noise

  • Ambient “in-band” noise

  • Out-of-band cross modulation noise due to photodetector non-linearity

  • Others?

Nambient

Ntransamp

NOOB

Ndiode

Modulation

Domain

Spectrum

Analyzer

Signal Of Interest (SOI)

SOI

Non-linear noise

bleed over

Out-of-Band (OOB)

Interference Signal

Ambient Noise Floor

Modulation Domain Spectrum

Roberts [Intel], Xu [UCR]


Ambient “In-Band” Noise Floor electrical power

This probably has to be empirically

measured for many different environments

Roberts [Intel], Xu [UCR]


Cross-modulation of Out-of-Band noise from other VLC signals into the SOI

ignore?

Roberts [Intel], Xu [UCR]


C into the SOIL

R2

The detector itself contributes a noise density Ndiode (W/  Hz)

(A/ Hz)

detector model

C2

R2

q is the electron charge (1.6e-19 coulombs)

ID is the dark current

IS is the signal current

IB is the background light induced current

B is the bandwidth (B=1 Hz for N0)

k is Boltzmann’s constant (1.38e-23 J/K)

T is the Kelvin temperature (~290 K)

RSH is the shunt resistance

Roberts [Intel], Xu [UCR]


TI OPA111 into the SOI

R2=10e6 ohms

Transimpedance Amplifier Noise Analysis

Ref. TI/Burr-Brown Application Bulletin SBOA060

“Noise Anaysis of FET Transimpedance Amplifiers”

Assume R3=0

http://focus.ti.com/lit/an/sboa060/sboa060.pdf

Roberts [Intel], Xu [UCR]


TI OPA111 into the SOI

The resistors and capacitors form critical corner frequencies as shown below:

Roberts [Intel], Xu [UCR]


Noise Regions for the TI OPA228 into the SOI

Typically op-amps have three noise regions … the above noise regions are for the TI OPA111 op-amp. It is anticipated most outdoor VLC implementations will be bandpass systems operating in noise region 3.

Roberts [Intel], Xu [UCR]


The approximation output noise is given by into the SOI

where

Roberts [Intel], Xu [UCR]


The signal current is given as into the SOI

Then electrical SNR is

used in numerical example later on

Roberts [Intel], Xu [UCR]


Eb/No Dimensional Analysis into the SOI

Roberts [Intel], Xu [UCR]


An example based upon vendor data into the SOI

Roberts [Intel], Xu [UCR]


Example into the SOI

OSRAM white LED: LUW W5SM-JYKY-4P7R-Z

Used parameters

in red box

Roberts [Intel], Xu [UCR]


Normalized radiant power spectrum density into the SOI

Roberts [Intel], Xu [UCR]


Normalized spatial luminous intensity distribution into the SOI

Roberts [Intel], Xu [UCR]


Thorlabs High Speed Detector: FDS010 PIN Silicon Diode into the SOI

Roberts [Intel], Xu [UCR]


optical filter band into the SOI

430nm ~ 470nm

An example responsivity curve (A/W)

FDS-010 http://www.thorlabs.de/Thorcat/0600/0636-S01.pdf

Roberts [Intel], Xu [UCR]


Thorlabs filter response into the SOI

Roberts [Intel], Xu [UCR]


Parameters into the SOI

Slide 36

Roberts [Intel], Xu [UCR]


Results into the SOI

Roberts [Intel], Xu [UCR]


Companion Xcel Spreadsheet Analysis into the SOI

Under Development

Roberts [Intel], Xu [UCR]


Link Budget into the SOI

Spreadsheet

Results

Under Development

Roberts [Intel], Xu [UCR]


Backup Slides into the SOI

Roberts [Intel], Xu [UCR]


LED Spectrum into the SOI

(white LED)

Flux / bandwidth (W/nm)

The detector diode vendors are giving us the info we need

This is the information we need from the LED vendor

For best performance we want the detector spectral responsivity to be “matched” to the LED spectral density. In general this is hard to due, especially for white LEDs.

Where T() is the transmitter power spectral density (W/nm)

R() is the detector responsivity (A/W at )

L() is the propagation loss (loss at )

Roberts [Intel], Xu [UCR]




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