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(1)

SEE 3533

SEE 3533

COMMUNICATION PRINCIPLES

COMMUNICATION PRINCIPLES

Chapter III

(2)

3.1 Introduction

3.1 Introduction

Beside

AM technique

, there is another technique that

used modulating signal to change

frequency and

phase

of

carrier signal.

Both are known as

Angle Modulation

.

Also known as

Exponent Modulation

.

Introduced in 1931 (Edwin H. Armstrong).

Generally sinusoidal signal expression:

Therefore, we can change the

amplitude

and

angle

of

the

carrier signal

in order to send information signal.

)]

(

cos[

)

(

t

A

t

(3)

3.2 Basic Concept of Angle Modulation

3.2 Basic Concept of Angle Modulation

Graph shown the characteristic of sinusoidal signal

The angle of sinusoidal signal :

o c

t

t

(

)

Gradient for θ(t)=ωct+ois an angle frequency,

ωc for sinusoidal signal.

For nonlinear process,θ(t)=θx(t), the

gradient representsinstantaneous angle frequency, ωi for sinusoidal signal.

) ( )

( )

( t

dt t d t

i

t

i d

t

0

) ( )

(   

and the instantaneous angle value is given by integration of:

Therefore, we can calculatethe instantaneous angle frequency,ωi at time t by calculating the gradient of graph θ(t) at time t i.e:

This can be seen at the time intervalt (t1 andt2) both signal are the same.

(4)

Therefore, it is shown that information signal, vm(t) can be transmitted with the amplitude of the carrier signal is held constant and the angle

either the phase or frequency of the carrier is varied linearly with the information signal, vm(t).

Let the carrier signal:

And the instantaneous angle value:

)]

(

[

cos

)

(

t

E

t

t

v

c

c

c

c

)

(

)

(

t

c

t

c

t

c



t

dt

t

d

t

c c c

i

(

)

(

)



t

t

dt

t

c c

t i

c

0

)

(

Ec

c(t)

ct

c(t)

i(t)

c(t)

c(t)

Therefore, the instantaneous angle frequency andinstantaneous angle value are given by:

Angle Modulation

Angle Modulation



t

dt

t

d

t

c c c

i

(5)

3.3 Phase Modulation (PM)

3.3 Phase Modulation (PM)

)

(

)

(

t

c

t

c

t

c

)

(

)

(

t

c

t

k

p

v

m

t

c

)]

(

[

)

(

t

E

kos

t

k

v

t

v

PM

c

c

p m

dt

t

dv

k

dt

t

d

t

c c p m

i

)

(

)

(

)

(

Pemodulatan Sudut

PM implies that the

phase deviation

of the carrier,

c

is

proportional to the

modulating signal

,

v

m

(

t

):

where

k

p

is the phase deviation constant in radians/sec/volt

And

the instantaneous angle frequency:

(6)

3.4 Frequency Modulation (FM)

3.4 Frequency Modulation (FM)





c c f

t m

FM

t

E

kos

t

k

v

t

dt

v

0

t c f m c f t m

c

t

k

v

t

dt

t

k

v

t

dt

0 0

)

(

)

(

)

(

)

(

)

(

t

c

k

f

v

m

t

i



t

dt

t

d

t

c c c

i

(

)

(

)

FM implies that the

frequency deviation

of the carrier,

is proportional to the

modulating signal,

v

m

(

t

):



t

c

where

k

f

is the frequency deviation constant in radians per volt

Integrate:

(7)

3.5 Relationship between FM and PM

3.5 Relationship between FM and PM

We can generate FM signal by using PM modulator and vice versa.

From the above block diagrams, it can be shown that the generation of FM and PM signals are mutually related.

Differentiator

FM Modulator

v

m

(

t

)

v

PM

(t)

dt d

PM Modulator

v

m

(

t

)

Integrator

v

FM

(t)

dt

Generation of FM

Generation of PM

Pemodulatan Sudut

)]

(

[

)

(

t

E

kos

t

k

v

t

v

PM

c

c

p m





  

  

c c f

t m

FM t E kos t k v t dt

v

0

(8)

Demodulation process is used to get back the information signal.For FM demodulator in order to get back information signal from FM

signal : PM modulator is used and the signal is pass through differentiator.

In contrast for PM demodulator : FM demodulator is used and the signal is pass through the integrator.

This shows the close relationship between FM and PM.

Hence we can discuss only either one technique in angle modulation.

Differentiator

dt d PM

Demodulator

v

m

(

t

)

v

FM

(t)

FM Demodulator

FM

Demodulator

v

m

(

t

)

v

PM

(t)

Integrator

dt

PM Demodulator





  

  

c c f

t m

FM t E kos t k v t dt

v

0

)]

(

[

)

(

t

E

kos

t

k

v

t

(9)

3.6 Analysis of AM signal

3.6 Analysis of AM signal

)

cos(

)

(

t

E

t

v

m

m

m

]

sin

[

cos

]

)

cos(

[

cos

)

(

0

t

E

k

t

E

dt

t

E

k

t

E

t

v

m m

m f c

c

t

m m

f c

c FM

Pemodulatan Sudut





t

m f

c c

FM

t

E

t

k

v

t

dt

v

0

cos

Assuming that the modulating signal,

v

m

(

t

)

:

(10)

Take:

m

m

f

f

m f

E

k

]

sin

[

cos

)

(

t

E

t

t

v

FM

c

c

m

]

sin

[

cos

)

(

t

E

t

k

E

t

v

m m

m f c

c

FM

rad/s, as a maximum frequency deviation

Define the modulation index

as a

ratio of maximum frequency

deviation to modulating signal frequency:

(11)

Trigonometric identities:

)]

(

sin

[

sin

)

sin(

)]

sin(

cos[

)

cos(

)

(

t

E

t

t

E

t

t

v

FM

c

c

m

c

c

m

genap n

m n

m

t

)]

J

(

)

2

J

(

)

cos(

n

t

)

sin(

cos[

0

ganjil n

m n

m

t

)]

2

J

(

)

sin(

n

t

)

sin(

sin[

n = even

n = odd

)

sin(

)

sin(

)

cos(

)

cos(

)

cos(

A

B

A

B

A

B

Pemodulatan Sudut

]

sin

[

cos

)

(

t

E

t

t

v

FM

c

c

m

Hence :

Expand using Fourier series yields:

Where

cos

[

β

sin

(

ω

m

t

)]

dan

sin

[

β

sin

(

ω

m

t

)] is a trigonometric series called as

(12)

Using Bessel identities :

]

)

cos(

)

)[cos(

(

]

)

cos(

)

)[cos(

(

)

cos(

)

(

)

sin(

)

sin(

)

(

2

)

cos(

)

cos(

)

(

2

)

cos(

)

(

)

sin(

)

(

2

)

sin(

]

)

cos(

)

(

2

)

(

)[

cos(

)

(

0 0 0

t

n

t

n

J

E

t

n

t

n

J

E

t

J

E

t

n

t

J

E

t

n

t

J

E

t

J

E

t

n

J

t

E

t

n

J

J

t

E

t

v

m c genap n m c n c m c ganjil n m c n c c c ganjil n m c n c genap n m c n c c c ganjil n m n c c genap n m n c c FM

            Substitute in

v

FM







odd

n

even

n

J

J

J

n n n

 

   

n n

n

J

(13)

Hence FM equation also known as WBFM:

Pemodulatan Sudut

]}

)

cos[(

]

)

){cos[(

(

...

]}

)

4

cos[(

]

)

4

){cos[(

(

]}

)

3

cos[(

]

)

3

){cos[(

(

]}

)

2

cos[(

]

)

2

){cos[(

(

]}

)

cos[(

]

)

){cos[(

(

)

cos(

)

(

)

(

4 3 2 1 0

t

n

t

n

J

E

t

t

J

E

t

t

J

E

t

t

J

E

t

t

J

E

t

J

E

t

v

m c m c n c m c m c c m c m c c m c m c c m c m c c c c FM

Sideband 1 Sideband 2 Sideband 3 Sideband 4 Sideband n Carrier band

  

(

)

cos[(

)

]

)

(

t

E

J

n

t

v

FM c n

c

m

(14)

3.6.1 Frequency Spectrum of FM signal

3.6.1 Frequency Spectrum of FM signal

m c

  c  cm

β= 0.25

) (rads1

BW

m c

4 cc4m

β= 2

)

(

rads

1

BW=2nfm=8fm

m c

8 cc8m

β= 5

) (rads1

BW=2nfm=16fm

(15)

Bessel Function for n=0 to n=4

(16)

Bessel Function Plot

(17)

Pemodulatan Sudut

Bessel Function Table

(18)

Frequency spectrum consists of

carrier component at

f

c

and also

sideband at

f

c

±

nf

m

where n is an integer

(

n

= 1,2,3,…)

The

number of sideband depends

on index

modulation value,

β

.

Magnitude of carrier signal

decreases as

β

increases.

Amplitude

of the frequency spectrum depends on

value of

J

n

(

β

).

The

bandwidth

of modulated signal

increases

when

index modulation,

β

increases.

BW > 2

f

m

is expected

.

(19)

3.6.2 Carlson’s Rule

3.6.2 Carlson’s Rule

Even though

FM signal has infinite number of sidebands

but

from the experiment conducted, it is shown that errors

(herotan) due to the

band limited signal

of FM

can be neglected

if

98%

of the power of the signal has been

transmitted.

Based on Bessel function,

98% of signal power has been

transmitted

if the number of the sidebands transmitted equal

to

1+

β

.

Therefore the BW needed for FM was :

Pemodulatan Sudut

 

mm

f

f

f

BW

2

(20)

3.6.3 Narrow Band FM (NBFM)

3.6.3 Narrow Band FM (NBFM)

For FM signal with the small index modulation i.e

β

< 0.2, is

called

Narrow Band FM (FM jalur sempit)

For FM signal that we have studied previously also known as

WBFM

and the equation is given by :

Let :

Hence, the equation yields:

NBFM

with

β

= small , therefore;

)

sin(

)

(

t

m

t

)]

(

sin

[

sin

)

sin(

)]

sin(

cos[

)

cos(

)

(

t

E

t

t

E

t

t

v

FM

c

c

m

c

c

m

)]

(

[

sin

)

sin(

)]

(

cos[

)

cos(

)

(

t

E

t

t

E

t

t

v

FM

c

c

c

c

1

)

sin(

)

(

t

m

t



(21)

Pemodulatan Sudut

]

)

cos[(

2

]

)

cos[(

2

)

cos(

)

sin(

)

sin(

)

cos(

)

sin(

)

(

)

cos(

)

(

t

E

t

E

t

E

t

t

E

t

E

t

t

E

t

E

t

v

m c c m c c c c c m c c c c c c c FM

1

)]

(

cos[

t

and

sin[

(

t

)]

(

t

)

 

t

mE

kos

t

mE

kos

t

kos

E

t

am

c c m

m c c c c FC

DSB

2

2

)

(

Therefore :

Hence NBFM equation yields :

Compared with

am

DSB-FC

signal:

It is shown from both equations for NBFM and

am

DSB-FC

consist of

one carrier component and two sidebands components. But

LSB

component for NBFM

the phase shift is varies for

90° (

quadrature

).

1

)

sin(

)

(

t

m

t



(22)

3.7 Differences between FM and AM

3.7 Differences between FM and AM

Frequency spectrum

Phase diagram (Rajah pemfasa)

) (V Amplitud

) (rads 1

c

 c m m c    0 c A 2 c mA 2 c mA 2 2 m c A mA  Di mana ) (V Amplitud ) (rads 1

c

 c m m c    0 c A 2  c A 2  c A  2  c A 2  c A c A mcm  ) (t vFM ) (t  2 c mA 2 c mA c A mcm  ) (t amDSBFC

(23)

3.8 Power in FM signal

3.8 Power in FM signal

Power signal

depends on the

amplitudes

and

not

on the

frequencies.

The

amplitude of the FM signal is constant

and therefore the

power transmitted depends only on the

amplitudes

of the

signal. It does not depends on the

modulation index.

For

AM

signal the power transmitted depends on the

modulation index

.

It can be seen from the Bessel equation:

In other word the

total power of FM signal

consists of the

power in carrier component

and

all the power in the sidebands.

Pemodulatan Sudut

 

1

2

...

2

0 3 2 1 0 n J J J J J J J T n n

P

P

P

P

P

P

P

P

 

1 2 2 0 2 2 3 2 2 2 1 2

0

2

2

2

...

2

2

1

n

n

n

J

J

J

J

J

J

(24)

FM equation is given by:

And therefore the total power transmitted :

(25)

Ex. 1 :

A carrier with a peak value of 2000 V is frequency modulated with a

message signal of 5 kHz. The modulation index obtained is 2. Calculate the

average power in:

(i) Highest sideband (ii) Lowest sideband . Given R = 50

Ω

.

Solution :

For β= 2 from Bessel table :

The highest sideband is :

J

1



0

.

58

The lowest sideband is :

J

5



0

.

01





2

0

.

01

58

.

0

2

5 1

J

J

=>

R

E

P

C

1

2

58

.

0

2

1

(i)

kW

5

.

13

50

1

2

2000

58

.

0

2

 

50

1

2

2000

01

.

0

2

5

P

W

4

(26)

Ex. 2 :

(a) Determine the BW required to transmit FM signal when the modulating frequency, fm = 10 kHz and maximum frequency deviation is 20 kHz.

From Bessel table the components obtained is J0, J1, J2 , J3, J4 and J5 That means J1 will be at 10 kHz, J2 at 20 kHz, J3 at 30 kHz etc.

Therefore BW = BFM = 2nfm= 2 x 5 x 10 = 100 kHz

2

10

20

m

f

f

Amplitud

fc fc+fm fc+2fm J0

J1

J5

fc-fm f (kHz)

 

mm

f

f

f

BW

2

1

2

Carson Rule

(27)

(b) Repeat (a) with fm= 5 kHz

From Bessel table the highest component is J7 Therefore BW = 2 x 7 x 5 = 70 kHz

4

5

20

m

f

f

 

f

f

mm

f

BW

2

1

2

Carson Rule

(28)

Ex. 3 :

A FM signal, 2000 cos (2πx 108 t + 2 Sin πx 104t) is transmitted using an antenna with

the resistance of 50 Ω. Determine

(i) Carrier frequency (ii) Modulation index (iii) Information signal

(iv) Power transmitted (v) Bandwidth (vi) Power in highest and lowest sidebands

Penyelesaian :

]

sin

[

cos

)

(

t

E

t

t

v

FM

c

c

m

Bandingkan :

(i) fc = 108 Hz = 100 MHz

(ii) β= 2

(iii) fm = 104 / 2 = 5 kHz

i) (v) β= 2 => bilangan jalursisi 4

BW = BFM = 2nfm = 2 x 4 x 5 = 40 kHz Carson - BW = 2(β+ 1)fm = 2(2 + 1)5 = 30 kHz i) (iv)Ec = 2000 V => Ec(rms) = 2000 / 2

Kuasa dipancarkan PT = V2

(rms)/ R

= (2000 / 2)2 / 50

= 40 kW

(vi) Dari jadual J1 jalursisi amplitud tertinggi

Nilai puncak jalursisi = 0.58 x 2000 Kuasa P = (0.58 x 2000/2)2 / 50

= 13.27 kW untuk satu jalursisi Dua jalursisi = 2 x 13.27 kW = 26.54 kW Kedua-dua jalursisi berada pada

fc fm= 100 MHz 5 kHz Kuasa jalursisi terkecil J4

(29)

Contoh 3.1

Satu isyarat FM mempunyai persamaan berikut :





c c f

t m

FM

t

E

t

k

v

t

dt

v

0

cos

di mana

v

m



t

E

m

sin

2

f

m

t

,

100

V

,

k

f

10

kHz

,

c

E

kHz

5

dan

V

1

,

MHz

2

.

106

m m

c

E

f

f

(i) Kirakan sisihan frekuensi (frequecy deviation)

(ii) BW menggunakan aturan Carson

(iii) Kuasa yang dipancarkan

(30)

Penyelesaian :

 





k

v

t

dt

f

t

E

t

f

E

v

R

E

P

f

f

BW

f

f

E

k

f

c m f c c c NBFM c FM m m m f

2

sin

2

2

cos

(iv)

1

R

anggapan

dengan

;

kW

5

1

2

100

2

(iii)

kHz

30

5

10

2

2

2

5

10

(ii)

kHz

10

1

10

(i)

2 2

)

sin(

)

(

sin

)

cos(

)

(

t

E

t

E

t

t

(31)

3.8.1

3.8.1

Isyarat

Isyarat

FM

FM

dan

dan

PM

PM

dalam

dalam

Domain

Domain

Masa

Masa

Pemodulatan Sudut

FM

(32)

3.9 Generation of FM signal

3.9 Generation of FM signal

2 techniques –

direct and indirect methods

(kaedah langsung dan

tidak angsung)

Require a system that able the frequency of the output signal to

vary in accordance to an information signal amplitude.

3.9.1 Direct method/Kaedah langsung

1. Varactor diode

2. Reactance modulation/Pemodulatan Regangan

3. Voltage Controlled Oscillator/Pengayun terkawal voltan (VCO)

Output frequency is proportional to the input voltage.

Ex: VCO manufactured by Signetics, SE/NE 566 or HCT

4046

http://www.see.ed.ac.uk/~gjrp/EE3/Comms/Lecture10/sld003.htm

(33)

Varactor diode L

C

=

kv

m

dimana

k

adalah

pemalar dan

v

m

adalah

voltan ketika isyarat

maklumat

1. Varactor diode

Varactor diode characteristic

C

C

L

o

2

1

C C

CTo

T o

LC

f

2

1

;

Analisa matematik :

O C

LC

f

2

1

Bila vm= 0 ;

    

  

 

O O

O

C C LC

f

1 2

1

2 1

1

2

1

O

O

C

C

LC

Varactor diode’s capacitance depends on the voltage across it.

Audio signals placed across the diode cause its capacitance to change, which in turn,

(34)

Using Binomial expansion :

O C

O

C

C

f

f

2

1

O m C

C

kv

f

2

1

From the equation it can be seen

that the FM signal can be obtained

because the output frequency is

dependant to the information

signal amplitude,

v

m

.

O

O

C

C

C

C

2

1

1

2 1

O

C

C

if

is small

(35)
(36)

A reactance modulator is a circuit in which

a transistor is made

to act like a variable reactance.

The reactance modulator is placed across the LC circuit of the

oscillator and

as the modulator’s reactance varies in response

to an applied audio signal, the oscillator frequency varies

as

well.

2. Reactance modulator

Frequency modulation using these techniques are not able to create

a signal with

large frequency deviation

. It means it is

not suitable for

WBFM

. To address this issue, the

Crosby modulator

was developed.

The Crosby circuit incorporates an automatic frequency control

(AFC).

The VCO’s output frequency is proportional to the voltage of the input signal.

If audio is applied to the input of a VCO, the output is an FM signal.

(37)
(38)

Direct method - Crosby circuit

AFC Circuit

To transmit and fed back an error control voltage to a modulator in

order to control frequency oscillator at 5 MHz (to prevent drift of the

carrier and frequency deviation).

This method is called Automatic

Frequency Control (Kawalan frekuensi automatic).

(39)

Let us look at an example. An

FM station operates at 106.5 MHz

with

a

maximum deviation of 75 KHz

. The FM signal is generated by a

reactance modulator that operates at 3.9444 MHz

, with a

maximum

deviation of 2.7778 KHz

. The resulting FM signal is fed through 3

frequency

triplers

,

multiplying the carrier frequency and deviation 27

times.

The final carrier frequency is 27*3.9444 = 106.5 MHz and the

final deviation is 27*2.7778 = 75 KHz.

(40)
(41)

3.9.2 Indirect method

Pemodulatan Sudut

~

vWBFM(t)

Mixer Penapis Lulus Jalur

Local Oscillator

cos(ωLOt) vz(t)

vy(t)

ωc1 Nωc1

Pemodulat NBFM

Pekali Frekuensi, N vm(t)

vNBFM(t)

Armstrong method

Armstrong method

First generate NBFM. Then multiplies NBFM frequency with multiplier

N

. This

frequency multiplication multiplies both the carrier frequency and the deviation.

(42)

3.9.3 Generation of NBFM

3.9.3 Generation of NBFM

FM modulation : The amplitude of the modulated carrier is held

constant and the time derivative of the phase of the carrier is varied linearly with the information signal.

The instantaneous frequency of FM is given by:

Hence

)

(

)

(

t

c

k

f

v

m

t

i

)

(

)

(

t

k

f

v

m

t

c



t

dt

t

d

t

c c c

i

(

)

(

)

where

~

dt kf

vm(t)

c

(

t

)

X

90°

vNBFM(t)

Eccos(ωct) Ecsin(ωct)

(43)

The angle of the FM signal can be obtained by integrating the

instantaneous frequency.

v

m

(

t

)

is a sinusoidal signal, hence:

Pemodulatan Sudut

)

sin(

)

sin(

)

cos(

)

(

0

t

t

E

k

dt

t

E

k

t

m m m m f t m m f c



t

t

dt

t

t

c c

t

i

c

0

)

(

)

(

f t m

c

t

k

v

t

dt

0

)

(

)

(

Notes:

1

)

(

)

(

0



f

t m

c

t

k

v

t

dt

Notes:

1

)

sin(

m

t



(44)

General equation for FM signal

)]

(

sin[

)

(

sin

)]

(

cos[

)

(

cos

)]

(

[

cos

)

(

t

t

E

t

t

E

t

t

E

t

v

c c

c c

c c

c c

c FM

)

(

sin

)

(

)

(

cos

)

(

t

E

t

t

E

t

v

NBFM

c

c

c c

c

Therefore NBFM signal can be generated using phase modulator circuit

as shown.

To obtain WBFM signal, the output of the modulator circuit (NBFM) is fed

into frequency multiplier circuit and the mixer circuit.

The function of the frequency multiplier is to increase the frequency deviation or modulation index so that WBFM can be generated.

Hence :

1

)

(

t



c

For NBFM therefore

cos[

c

(

t

)]

1

and

sin[

c

(

t

)]

c

(

t

)

(45)

vWBFM(t)

~

Mixer Penapis Lulus Jalur

Penjana Tempatan

cos(ωLOt) vz(t)

vy(t)

ωc1 Nωc1

Pemodulat NBFM

Pekali Frekuensi, N vm(t)

vNBFM(t)

3.9.4 Generation of WBFM

3.9.4 Generation of WBFM

Analisa Matematik :

The instantaneous value of the carrier frequency is increased by

N

times.

)

(

)

(

)

(

t

1

t

c c

t

i

Let :

)

(

)]

(

[

)

(

)

(

2 1 2

t

N

t

N

t

N

t

c c

c c

Output of the

frequency multiplier :

c

c

N

(46)

And :

)

(

)

(

)

(

2 2

2

t

t

N

t

dt

d

t

c

c

c

c

N

Nota:2

)

sin(

)

sin(

)

(

2 1

t

t

N

t

N

m m c

1

2

N

It is proven that the modulation index was increased by

N

times following this equation.

) sin(

) sin(

) cos(

) (

0

t t E

k

dt t E

k t

m m m

m f

t

m m

f c

 

(47)

The output equation of the frequency multiplier :

Pass the signal through the mixer, then WBFM signal is

obtained :

BPF is used to filter the WBFM signal desired either at

ω

c2

+

ω

LO

or at

ω

c2

-

ω

LO

.

Hence the output equation :

)]

(

[

)]

(

[

cos

)

(

2 2

t

N

t

kos

E

t

E

t

v

c c c c FM

Pemodulatan Sudut

)]

(

)

cos[(

)]

(

)

cos[(

)

cos(

2

x

)]

(

[

cos

)

(

2 2 2

t

N

t

E

t

N

t

E

t

t

N

t

E

t

v

c LO c c c LO c c LO c c c FM

)]

(

)

[(

)]

(

)

[(

)

(

2 2

t

N

t

kos

E

t

N

t

kos

E

t

v

c LO c c c LO c c

WBFM

(48)

3.9.5 Comparison between FM and AM

3.9.5 Comparison between FM and AM

Advantages

SNR is much better than AM can be obtained, if the BW is greater enough.

SNR can be increased by increasing the transmitted power.

Constant amplitudes made the non linear preamplifier to be used effectively.

Disadvantages

(49)

3.10 Demodulation of FM signal

3.10 Demodulation of FM signal

Demodulation process is done in order to recover/get back the information signal transmitted.

Basic concepts of demodulation circuit is to detect the frequency variation.

Two techniques can be used:

Pemodulatan Sudut

Penyahmodulatan FM

Secara Tak Terus Secara

Terus

(50)

3.10.1 Conversion circuit

3.10.1 Conversion circuit

-

-

FM to AM

FM to AM

(

(

Discriminator

Discriminator

)

)

K.

K.

Terus

Terus

This technique is required to convert FM signal to AM signal and then by using AM demodulation circuit is to get back the information

signal.

This technique is called pengesan kecerunan (slope detection) or

discriminator.

Block diagram of the detection circuit is as shown below:

t t t

y(t)

Pengesan Sampul

dt d

v

FM

(

t

)

vFM



t y(t)



t vFM

(51)

Pemodulatan Sudut

)

)

(

cos(

)

(

0

t m f

c c

FM

t

E

t

k

v

t

dt

v

)]

(

[

k

v

t

E

c

c

f m

Mathematical analysis :

Differentiate; yields : FM equation :







E

k

v

t

t

k

v

t

dt

dt

t

dv

m f

c m

f c

c

FM

sin

From the above equation it can be seen that the amplitude of the signal contains the information signal.

(52)

For envelope detector to be used the frequency deviation,

Δ

ω

required must be smaller than the carrier frequency,

ω

c

or otherwise an envelope detector cannot be used.

c m

f

v

t

k

(

)

0

]

[

c

c

E

for all t

)

(

)

(

t

E

k

v

t

y

c f m

In practice a limiter circuit (litar penghad amplitude) can be

used.

It is due to the FM signal received at the antenna was

influenced by the noise and therefore the amplitudes of the

signal were varied and not constant.

Hence the output equation of the envelope detector :

(53)

Pemodulatan Sudut

For effective detection the constant amplitude of the FM signal is required. Therefore an amplitude limiter is used.

Below is a block diagram of FM detection circuit with limiter circuits.

1

1

)

(

o

v

cos(θ) > 0

cos(θ) < 0 v i(θ) vo(θ)

1 -1

Penghad BPF

)] ( cos[

)

(t t t

Ecc c

4

cos[

c

t

c

(

t

)]

Penghad Amplitud (Limiter) Penghad

Amplitud

Pengesan Sampul

dt d

v

FM

(

t

)

y(t)

Discriminator

Figure

Figure shows the plot of vo vs e . Using this plot wecan explain the tracking mechanism.

References

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