Lecture 11 Outline: Digital Modulation - Stanford University · Lecture 11 Outline: Digital...

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Lecture 11 Outline: ASK/PSK Demod, Quadrature Modulation, FIR Filter Design l Announcements: l Georgia’s office hours this week are Th 12-1 instead of Th 4-5. l Optional reading on ASK/PSK/QAM Modulation posted l Midterm announcements next week l Review of Last Lecture l Demodulation of ASK and PSK l Quadrature Modulation: MQAM l Introduction to FIR Filter Design l Impulse Response Matching

Transcript of Lecture 11 Outline: Digital Modulation - Stanford University · Lecture 11 Outline: Digital...

Page 1: Lecture 11 Outline: Digital Modulation - Stanford University · Lecture 11 Outline: Digital Modulation ... error-correction coding and modulation ... Wireless Communications Research

Lecture 11 Outline: ASK/PSK Demod, Quadrature

Modulation, FIR Filter Design

l Announcements:l Georgia’s office hours this week are Th 12-1 instead of Th 4-5. l Optional reading on ASK/PSK/QAM Modulation postedl Midterm announcements next week

l Review of Last Lecture

l Demodulation of ASK and PSK

l Quadrature Modulation: MQAM

l Introduction to FIR Filter Design

l Impulse Response Matching

Page 2: Lecture 11 Outline: Digital Modulation - Stanford University · Lecture 11 Outline: Digital Modulation ... error-correction coding and modulation ... Wireless Communications Research

l Broadcast AM has s(t)=[1+kam(t)]cos(wct) with [1+kam(t)]>0l Demodulator uses an envelope detectorl No need to recover phase f, very simple receiver design

l Quadrature modulation sends independent AM signals modulated onto the sin and cosine carriers

l FM encodes information in frequency of carrier (extra topic) l Digital communication systems modulate bits onto baseband

signal m(t), then use passband modulation on m(t)l May also preprocess bits with compression and codingl Analog information signals converted to bits via ADC

l Baseband digital modulation: ON-OFF (ak=A,0), POLAR (ak=±A)

l Passband digital modulation for ASK/PSK:

Review of Last Lecture

)cos()()( jw +=å ttmts c

)()()(*)()()( bk

kbk

k kTtatxfortrecttxkTtrectatm -==-= åå¥

-¥=

¥

-¥=

d

Page 3: Lecture 11 Outline: Digital Modulation - Stanford University · Lecture 11 Outline: Digital Modulation ... error-correction coding and modulation ... Wireless Communications Research

ASK and PSK

l Amplitude Shift Keying (ASK)

l Phase Shift Keying (PSK)

îíì

==

==)"0("0)(0)"1(")()cos(

)cos()()(b

bcc nTm

AnTmtAttmts

ww

1 0 1 1

AM Modulation

AM Modulation

m(t)

m(t)

îíì

-=+=

==)"0(")()cos()"1(")()cos(

)cos()()(AnTmtAAnTmtA

ttmtsbc

bcc pw

ww

1 0 1 1

Assumes carrier phase f=0, otherwise need phase recovery of f in receiver

A

-A

A

-A

Page 4: Lecture 11 Outline: Digital Modulation - Stanford University · Lecture 11 Outline: Digital Modulation ... error-correction coding and modulation ... Wireless Communications Research

ASK/PSK Demodulationl Similar to AM demodulation, but only need to choose

between one of two values (need coherent detection)

l Decision device determines which of R0 or R1 that R(nTb) is closest tol For ASK, R0=0, R1=A, For PSK, R0=-A, R1=Al Noise immunity DN is half the distance between R0 and R1

l Bit errors occur when noise exceeds this immunity

s(t) ´

cos(wct+f)

ò ×bT

b

dtT 0

)(2

nTb

Decision Device

“1” or “0” r(nTb)

R0

R1

a0

r(nTb)

r(nTb)+N

Integrator (LPF)

DN

Page 5: Lecture 11 Outline: Digital Modulation - Stanford University · Lecture 11 Outline: Digital Modulation ... error-correction coding and modulation ... Wireless Communications Research

Quadrature Digital Modulation: MQAM

l Sends different bit streams on the sine and cosine carriersl Baseband modulated signals can have L>2 levels

l More levels for the same TX power leads to smaller noise immunity and hence higher error probability

l Sends 2log2(L)=M bits per symbol time Ts, Data rate is M/Ts bpsl Called MQAM modulation: 10 Gbps WiFi has 1024-QAM (10 bits/Ts)

10 11 00 01

t

mi(t)m1(t)cos(wct)+m2(t)sin(wct)+

n(t)

X

-90o

cos(wct)

sin(wct)

X

ò ×bT

b

dtT 0

)(2

ò ×bT

b

dtT 0

)(2

Decision Device

“1” or “0”

R0

R1

a0

rI(nTb)+NI

Decision Device

“1” or “0”

R0

R1

a0

rQ(nTb)+NQ

A

-A

A/3

-A/3

Ts

Data rate: log2L bits/TsTs is called the symbol time

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Introduction to FIR Filter Design

l Signal processing today done digitallyl Cheaper, more reliable, more energy-efficient, smaller

l Discrete time filters in practice must have a finite impulse response: h[n]=0, |n|>M/2l Otherwise processing takes infinite time

l FIR filter design typically entails approximating an ideal (IIR) filter with an FIR filterl Ideal filters include low-pass, bandpass, high-passl Might also use to approximate continuous-time filter

l We focus on two approximation methodsl Impulse response and filter response matchingl Both lead to the same filter design

Page 7: Lecture 11 Outline: Digital Modulation - Stanford University · Lecture 11 Outline: Digital Modulation ... error-correction coding and modulation ... Wireless Communications Research

Impulse Response Matchingl Given a desired (noncausal, IIR) filter response hd[n]

l Objective: Find FIR approximation ha[n]: ha[n]=0 for |n|>M/2 to minimize error of time impulse response

l By inspection, optimal (noncausal) approximation is

[ ] ( )W« jdd eHnh

[ ] [ ] [ ] [ ] [ ] 2/||,0][since,

2

2

2

22 Mnnhnhnhnhnhnh aMn

dMn

adn

ad >=+-=-= ååå>£

¥

-¥=

eDoesn’t depend on ha[n]

[ ] [ ]îíì

=2/02/

MnMnnh

nh da

Exhibits Gibbs phenomenonfrom sharp time-windowing

W

( )Wja eH

p- p0

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Main Pointsl Demodulation of ASK/PSK downconverts, integrates, and then

uses a decision device to determine if a “1’’ or “0’’ was sentl Downconversion must be coherent; requires acquisition of phase fl Noise can cause decision device to output an erroneous bit

l MQAM modulation sends independent bit streams on cosine and sine carriers where baseband signals have L=ÖM levelsl Leads to data rates of M/Ts bps (can be very high)

l FIR filter design entails approximating an ideal discrete or continuous filter with a discrete filter of finite duration

l Impulse response and frequency response matching minimizes time/frequency domain error; have same noncausal designl Optimal filter has M+1 of original discrete-time impulse response valuesl Sharp windowing causes “Gibbs” phenomenon (wiggles)