FM- Frequency Modulation PM - Phase Modulation
EELE445-14 Lecture 30
1
DSB-SC, AM, FM and PM
DSB - SC Complex Envelope : g(t) = Ac m(t)
AM Complex Envelope : g(t) = Ac ()1+ m(t)
SSB - SC Complex Envelope : g(t) = Ac []m(t) ± jmˆ (t)
jDpm(t) PM Complex Envelope : g(t) = Ac e
t jD f ∫−∞ m(σ )dσ FM Complex Envelope : g(t) = Ac e
1 FM and PM
jθ (t) jθ (t) g(t) = R(t)e = Ac e Complex Envelope
R(t) = g(t) = Ac the real envelope is a constant → power is constant
Transmitted angle - modulated signal :
jωct s(t) = Re[]g(t)e = Ac cos[]ωct +θ (t)
FM and PM
Transmitted angle - modulated signal :
jωct s(t) = Re[]g(t)e = Ac cos[]ωct +θ (t)
for PM : θ (t) = Dpm(t) rad D ≡ phase sensitivity or modulation constant p volt t for FM : θ (t) = D f m(σ )dσ ∫−∞ rad D ≡ frequency deviation or modulation constant f volt − sec Hz D = 2π f volt
2 FM and PM
Relationship between mf(t) and mp(t):
Dp ⎡dmp (t)⎤ m f (t) = ⎢ ⎥ D f ⎣ dt ⎦
D f t mp (t) = m f (σ )dσ ∫−∞ Dp
Figure 5–8 Angle modulator circuits. RFC = radio-frequency choke.
Couch, Digital and Analog Communication Systems, Seventh Edition ©2007 Pearson Education, Inc. All rights reserved. 0-13-142492-0
3 Figure 5–8 Angle modulator circuits. RFC = radio-frequency choke.
Couch, Digital and Analog Communication Systems, Seventh Edition ©2007 Pearson Education, Inc. All rights reserved. 0-13-142492-0
Instantaneous Frequency s(t) = R(t)cosψ (t)
= Ac cosψ (t) FM or PM
= Ac cos(ωct +θ (t))
The instantaneous frequency in Hz is : • 1 1 ⎡dψ(t)⎤ θ (t) fi (t) = ωi (t) = = fc + 2π 2π ⎣⎢ dt ⎦⎥ 2π
4 FM and PM differences
PM: instantaneous phase deviation of the carrier phase is proportional to the amplitude of m(t)
θ (t) = D pm(t) radians radians •Modulation Constant D in • Modulation sensitivity p volt • Phase sensitivity
Instantaneous phase in radians : ψ (t) = ωct +θ (t) = ωct + Dpm(t)
• • dψ (t) θ (t) D m(t) Instantaneous frequency in Hz : f (t) = = f + = f + p i 2πdt c 2π c 2π
FM and PM differences
FM: instantaneous frequency deviation from the carrier frequency is proportional to m(t)
t θ (t) = D f m(α )dα radians ∫−∞ radians D in f volt − sec t The instantaneous phase in radians : ψ (t) = ω t +θ(t) = ω t + D m(α)dα c c f ∫ −∞
• dψ (t) θ (t) D m(t) The instantaneous frequency in Hz : f (t) = = f + = f + f i 2πdt c 2π c 2π
5 FM and PM differences
FM: instantaneous frequency deviation from the carrier frequency is proportional to m(t)
1 • 1 f (t) ≡ f (t) − f = θ (t) = D m(t) d i c 2π 2π f
radians D = K ⇒ Modulation p p volt Constants rad Hz D = K ⇒ = 2π f f volt − sec volt
FM
1 ⎡dθ (t)⎤ frequency deviation ≡ fd (t) = fi (t) − fc = 2π ⎣⎢ dt ⎦⎥ ⎧ 1 ⎡dθ (t)⎤⎫ 1 peak frequency deviation ≡ ΔF = max = D V ⎨ ⎢ ⎥⎬ f p ⎩2π ⎣ dt ⎦⎭ 2π
Vp = max[]m(t) ΔF frequency modulationindex ≡ β = B is the bandwidth of m(t) f B
6 PM and digital modulation phase deviation ≡ θ (t)
peak phase deviation ≡ Δθ = max[]θ (t) = DpVp
Vp = max[]m(t)
phase modulation index ≡ βp = Δθ
note : when m(t) is a sinusoidal signal set such that the PM and
FM signals have the same peak frequency deviation, then β p = β f
For Digital signals the modulation index : 2Δθ h ≡ π
where 2Δθ is the pk - pk phase change in one symbol duration, Ts
Figure 5–9 FM with a sinusoidal baseband modulating signal.
Couch, Digital and Analog Communication Systems, Seventh Edition ©2007 Pearson Education, Inc. All rights reserved. 0-13-142492-0
7 Figure 5–9 FM with a sinusoidal baseband modulating signal.
Couch, Digital and Analog Communication Systems, Seventh Edition ©2007 Pearson Education, Inc. All rights reserved. 0-13-142492-0
FM from PM and PM from FM
8 FM/PM s(t) waveforms
FM and PM with m(t)=cos(2πfm Let
For PM
For FM
Define the modulation indices:
9 FM and PM Signals
Define the modulation indices:
FM and PM Signals
Then
10 Spectrum Characteristics of FM
• FM/PM is exponential modulation
Let φ(t) = β sin( 2πfmt)
u(t) = Ac cos( 2πf ct + β sin(2πfmt))
j(2πfct+β sin( 2πfmt )) = Re()Ace
u(t) is periodic in fm we may therefore use the Fourier series
Spectrum Characteristics of FM
• FM/PM is exponential modulation
u(t) = Ac cos( 2πfct + β sin( 2πfmt))
j(2πfct+β sin( 2πfmt )) = Re()Ace
u(t) is periodic in fm we may therefore use the Fourier series
11 Spectrum with Sinusoidal Modulation
g(t) = e jβ sin(2πfmt)
u(t) is periodic in fm we may therefore use the Fourier series
Jn Bessel Function
12 Jn Bessel Function
TABLE 5–2 FOUR-PLACE VALUES OF
THE BESSEL FUNCTIONS Jn (β)
13 TABLE 5–3 ZEROS OF BESSEL FUNCTIONS:
VALUES FOR β WHEN Jn(β) = 0
Figure 5–11 Magnitude spectra for FM or PM with sinusoidal modulation for various modulation indexes.
Ac J1(β = 1) cos( 2π ( f c + 1 f1 )t)
Ac J 0 (β = 1) cos( 2πfct)
Ac J −1 (β = 1) cos( 2π ( f c − 1 f1 )t)
Couch, Digital and Analog Communication Systems, Seventh Edition ©2007 Pearson Education, Inc. All rights reserved. 0-13-142492-0
14 Figure 5–11 Magnitude spectra for FM or PM with sinusoidal modulation for various modulation indexes.
Couch, Digital and Analog Communication Systems, Seventh Edition ©2007 Pearson Education, Inc. All rights reserved. 0-13-142492-0
NBFM- Narrowband Frequency Modulation WBFM - Wideband Frequency Modulation Carson’s Bandwidth Rule
EELE445-14 Lecture 31
30
15 Narrowband FM
•Only the Jo and J1 terms are significant •Same Bandwidth as AM •Using Eulers identity, and φ(t)<<1:
Notice the sidebands are “sin”, not “cos” as in AM
Narrowband FM as a Phaser
AM
NBFM
16 Frequency Multiplication: Wideband FM from Narrowband FM
si(t) so(t) n ωc (s(t)) n x ωc βFM n x βFM
jφ (t ) j2πfct n jnφ (t ) j2πnf ct so (t) = Re(e e ) = Re(e e ) t nφ(t) = nD m(λ )dλ f ∫ −∞
β fmout = nβ f min
•The Output Carrier frequency = n x fc •The output modulation index = n x βfm •The output bandwidth increases according to Carson’s Rule
Effective Bandwidth- Carson’s Rule for Sine Wave Modulation Where β is the modulation
index fm is the sinusoidal modulation frequency
•Notice for FM, if kfa>> fm, increasing fm does not increase Bc much •Bc is linear with fm for PM
17 Figure 5–11 Magnitude spectra for FM or PM with sinusoidal modulation for various modulation indexes.
Couch, Digital and Analog Communication Systems, Seventh Edition ©2007 Pearson Education, Inc. All rights reserved. 0-13-142492-0
Figure 5–11 Magnitude spectra for FM or PM with sinusoidal modulation for various modulation indexes.
Couch, Digital and Analog Communication Systems, Seventh Edition ©2007 Pearson Education, Inc. All rights reserved. 0-13-142492-0
18 Figure 5–11 Magnitude spectra for FM or PM with sinusoidal modulation for Various modulation indexes.
Couch, Digital and Analog Communication Systems, Seventh Edition ©2007 Pearson Education, Inc. All rights reserved. 0-13-142492-0
When m(t) is a sum of sine waves
19 When m(t) is a sum of sine waves
Sideband Power Signal Amplitude: Ac := 1V
Modulating frequency: fm := 1KHz Carrier peak deveation: Δf:= 2.4KHz
Δf Modulation index: β := β = 2.4 fm
∞ Reference equation: () xt() ∑ ⎣⎡Ac⋅Jn n, β ⋅cos ⎣⎡()ωc + n⋅ωm ⋅t⎦⎤⎦⎤ n = − ∞
2 Ac Power in the signal: Pc := Pc = 0.5 W 21⋅Ω
Carsons rule bandwidth: BW:= 2⋅()β + 1 ⋅f 3 1 m BW= 6.8× 10 s
Order of significant sidbands predicted by Carsons rule: n:= round()β + 1 n3=
k 2 ()Ac⋅Jn() n , β Power as a function of number of sidebands: Psum()k := ∑ 21⋅Ω n = − k
Psum()n Percent of power predicted by Carsons rule: ⋅100 = 99.118 Pc
20 Power vs Bandwidth
PERCENT OF TOTAL POWER 100
Psum()k ⋅100 50 Pc
0 0 0.5 1 1.5 2 2.5 3 k
Sideband Power β=2.4
k010:= .. Jk :=Jn() k , β 2 β = 2.4 Pk := ()Jk n3=
0 0 0 2.508·10-3 0 6.288·10-6 n 1 0.52 1 0.271 P0 + 2⋅ P j = 0.991 2 0.431 2 0.186 ∑ 3 0.198 3 0.039 j = 1 J = 4 0.064 P = 4 4.135·10-3 5 0.016 5 2.638·10-4 6 3.367·10-3 6 1.134·10-5 7 5.927·10-4 7 3.513·10-7 8 9.076·10-5 8 8.237·10-9 9 1.23·10-5 9 1.513·10-10 10 1.496·10-6 10 2.238·10-12
21 Sideband Power β=0.1
j05:=.. β := 0.1 n1:= V := Jn() j , β j 2 Uj := ()Vj
0.998 0.995 ⎜⎛ ⎞⎟ ⎜⎛ ⎞⎟ 0.05 − 3 ⎜ ⎟ ⎜ 2.494× 10 ⎟ n ⎜ − 3 ⎟ ⎜ ⎟ U + 2⋅ U = 1 1.249× 10 − 6 0 j ⎜ ⎟ ⎜ 1.56× 10 ⎟ ∑ V = ⎜ − 5 ⎟ U = ⎜ ⎟ j = 1 2.082× 10 − 10 ⎜ ⎟ ⎜ 4.335× 10 ⎟ ⎜ − 7 ⎟ ⎜ ⎟ 2.603× 10 − 14 ⎜ ⎟ ⎜ 6.775× 10 ⎟ ⎜ − 9 ⎟ ⎜ ⎟ ⎝ 2.603× 10 ⎠ ⎝ 0 ⎠
Sideband Power β=0.6
β := 0.6 n1:=
W j := Jn() j , β 2 Xj := ()W j
0.912 ⎛ 0.832 ⎞ ⎛ ⎞ ⎜ ⎟ n ⎜ ⎟ ⎜ 0.082 ⎟ ⎜ 0.287 ⎟ X0 + 2⋅ Xj = 0.996 ⎜ − 3 ⎟ ∑ ⎜ 0.044 ⎟ ⎜ 1.907× 10 ⎟ j = 1 ⎜ ⎟ W = − 3 X = ⎜ − 5 ⎟ ⎜ 4.4× 10 ⎟ ⎜ 1.936× 10 ⎟ ⎜ − 4 ⎟ 3.315× 10 ⎜ − 7 ⎟ ⎜ ⎟ ⎜ 1.099× 10 ⎟ ⎜ ⎟ − 5 ⎜ − 10 ⎟ ⎝ 1.995× 10 ⎠ ⎝ 3.979× 10 ⎠
22 filename: fmsidebands.mcd avo 09/21/04 FM/PM modulation index: set to π/2 for peak last edit date:2/27/07 phase dev of π/2 set to Δf/fm for frequency modulation. spectrum Ac := 1 is the same for sinewave 4 79 modulation. fc := 010⋅
0 Fm:= 10 Modulating frequency- single sinewave x M := 10 n:= round() M+ 1 2 * n is the number of significant sidebands per Carsons rule Bandwidth:= 2⋅ n⋅Fm n9= Modulation_index:= M
⎡ n ⎤ k Si() f := A ⋅⎢ ()J0() M ⋅δ ff, + ⎡ Jn() k, M ⋅δ ⎡ff, + kFm⋅ ⎤ + ()−1 ⋅δJn() k, M ⋅ ⎡ff, − kFm⋅ ⎤ ⎤ ⎥ c ⎢ ()c ∑ ⎣ ⎣ ()c ⎦ ⎣ ()c ⎦ ⎦ ⎥ ⎣ k = 1 ⎦
Bf():= δ ff, + ()Fmn0+ ⋅ + δ ff, − nFm⋅ ⎣⎡ c ⎦⎤ ()c ff:= c − ()Fmn1+ ⋅ ,()fc − nFm⋅ .. ⎣⎡ fc + ()Fmn1+ ⋅ ⎦⎤
Bandwidth= 18 Modulation_index= 7.9
β=.4, Sideband Level =β/2 for Narrowband FM
Single Sided Spectrum Bessel Functions 1
Modulation_index0.8 0.8 0.6
0.4 0.6 0.2
0 0.4
0.2 Volts Peak
0.4 0.2
0.6
0.8 0
1 0246810 0.2 Carrier J0 2 1012 1st Sidebands J1 Spectrum 2nd Sidebands J2
23 β=.9, Sideband Level =β/2 for Narrowband FM
Single Sided Spectrum Bessel Functions 1 1
0.8Modulation_index
0.6
0.4 0.5 0.2
0
0.2 Volts Peak
0.4 0
0.6
0.8
1 0246810 0.5 Carrier J0 3 2 10123 1st Sidebands J1 Spectrum 2nd Sidebands J2
β=2.4, Carrier Null
Single Sided Spectrum Bessel Functions 0.6 1
0.8 Modulation_index 0.4 0.6
0.4 0.2 0.2
0 0
0.2 Peak Volts
0.4 0.2
0.6
0.8 0.4
1 0246810 0.6 Carrier J0 4 20 24 1st Sidebands J1 Spectrum 2nd Sidebands J2
24 β=3.8, first sideband null
Single Sided Spectrum Bessel Functions 0.6 1
0.8 Modulation_index 0.4 0.6
0.4 0.2 0.2
0 0
0.2 Peak Volts
0.4 0.2
0.6
0.8 0.4
1 0246810 0.6 Carrier J0 6 4 20246 1st Sidebands J1 Spectrum 2nd Sidebands J2
β=5.1, second sideband null
Single Sided Spectrum Bessel Functions 0.4 1
0.8 Modulation_index
0.6 0.2 0.4
0.2
0 0
0.2 Volts Peak
0.4
0.6 0.2
0.8
1 0246810 0.4 Carrier J0 8 6 4 202468 1st Sidebands J1 Spectrum 2nd Sidebands J2
25 Power vs BW, β=0.1
⎛ 2 n ⎞ J0() M 2 second term includes power in +Jn PMn(), := ⎜ + Jn() k, M ⎟ ⎜ 2 ∑ ⎟ and power in -Jn, i.e the upper and ⎝ k = 1 ⎠ lower sideband pairs M= 0.1 % power vs bandwidth Fm= 1 Hz n Bandwidth= 2 Hz 99.99995
99.9999 PMn(), ⋅100 = 100 2 PMk(), Ac ⋅10099.99985 2 2 Ac 2 99.9998
99.99975
99.9997
99.99965 1 1.2 1.4 1.6 1.8 k Number of Sideband pairs
Power vs BW, β=0.9
⎝ ⎠ M= 0.9 % power vs bandwidth 100 Fm= 1 Hz n Bandwidth= 4 Hz
99.5 PMn(), ⋅100 = 99.958 2 PMk(), Ac ⋅100 2 A 2 c 99 2
98.5
98 1 1.5 2 2.5 3 3.5 4 k Number of Sideband pairs
26 Power vs BW, β=2.4
⎝ ⎠ M= 2.4 % power vs bandwidth 100 Fm= 1 Hz n Bandwidth= 8 Hz
90
PMn(), ⋅100 = 99.945 2 PMk(), 80 Ac ⋅100 2 2 Ac 2 70
60
50 12345678 k Number of Sideband pairs
27