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Appa

The document presents various problems related to noise modeling in communications, utilizing formulas such as Nyquist's and the exponential relation for current. It covers calculations for rms noise voltage, equivalent resistance, noise figure, and the effects of temperature on noise performance. The problems demonstrate the application of theoretical concepts to practical scenarios in electronic communications systems.

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0% found this document useful (0 votes)
4 views11 pages

Appa

The document presents various problems related to noise modeling in communications, utilizing formulas such as Nyquist's and the exponential relation for current. It covers calculations for rms noise voltage, equivalent resistance, noise figure, and the effects of temperature on noise performance. The problems demonstrate the application of theoretical concepts to practical scenarios in electronic communications systems.

Uploaded by

dohak6481
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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APPENDIX A: NOISE MODELING WITH APPLICATIONS TO COMMUNICATIONS 1

Problem A.1
All parts of the problem are solved using the relation
p
Vrm s = 4kT RB
where
k = 1:38 10 23 J/K
B = 30 MHz = 3 107 Hz
a. For R = 10; 000 ohms and T = T0 = 290 K
p
Vrm s = 4 (1:38 10 23 ) (290) (104 ) (3 107 )
= 6:93 10 5 V rms
= 69:3 V rms
p
b. Vrm s is smaller than the result in part (a) by a factor of 10 = 3:16: Thus
Vrm s = 21:9 V rms
p
c. Vrm s is smaller than the result in part (a) by a factor of 100 = 10: Thus
Vrm s = 6:93 V rms
p
d. Each answer becomes smaller by factors of 2; 10 = 3:16; and 10, respectively.

Problem A.2
Use
eV
I = Is exp 1
kT
eV
We want I > 20Is or exp kT 1 > 20.
e 1:6 10 19
a. At T = 290 K, kT = 1:38 1023 290 = 40, so we have exp (40V ) > 21 giving

ln (21)
V > = 0:0761 volts
40
eV
i2rm s = 2eIB ' 2eBIs exp
kT
i2rm s eV
or = 2eIs exp
B kT
19 5
= 2 1:6 10 1:5 10 exp (40 0:0761)
22 2
= 1:0075 10 A /Hz
e
b. If T = 90 K, then kT = 129, and for I > 20Is , we need exp(129V ) > 21 or
ln (21) 2
V > = 2:36 10 volts
129
APPENDIX A: NOISE MODELING WITH APPLICATIONS TO COMMUNICATIONS 2

Thus
i2rm s 19 5
= 2 1:6 10 1:5 10 exp (129 0:0236)
B
= 1:0079 10 22
A2 /Hz

approximately as before.

Problem A.3

a. Use Nyquist’s formula to get the equivalent circuit of Req in parallel with RL , where Req is
given by
R3 (R1 + R2 )
Req =
R 1 + R 2 + R3
The noise equivalent circuit consists of a rms noise voltage, Veq , in series with Req and a rms noise
voltage, VL , in series with with RL with these series combinations being in parallel. The equivalent
noise voltages are

p
Veq = 4kT Req B
p
VL = 4kT RL B

The rms noise voltages across the parallel combination of Req and RL , by using superposition and
voltage division, are
Ve q RL VL Re q
V01 = and V02 =
Req + RL Req + RL
Adding noise powers to get V02 we obtain
2 2
Veq RL 2
VL2 Req
V02 = 2 + 2
(Req + RL ) (Req + RL )
(4kT B) RL Req
=
Req + RL
RL R3 (R1 + R2 )
= 4kT B
R 1 R 3 + R2 R 3 + R1 RL + R 2 R L + R 3 R L
Note that we could have considered the parallel combination of R3 and RL as an equivalent load
resistor and found the Thevenin equivalent. Let
R 3 RL
Rjj =
R3 + R L
The Thevenin equivalent resistance of the whole circuit is then
R3 RL
Rjj (R1 + R2 ) R3 +RL (R1 + R2 )
Req2 = = R3 RL
Rjj + R1 + R2 R3 +RL + R1 + R 2
RL R3 (R1 + R2 )
=
R 1 R 3 + R2 R3 + R1 RL + R2 RL + R 3 R L
APPENDIX A: NOISE MODELING WITH APPLICATIONS TO COMMUNICATIONS 3

and the mean-square output noise voltage is now

V02 = 4kT BReq2

which is the same result as obtained before.

b. With R1 = 2000 ; R2 = RL = 300 ; and R3 = 500 , we have

V02 RL R3 (R1 + R2 )
= 4kT B
B R1 R3 + R 2 R 3 + R 1 R L + R 2 R L + R3 RL
4 1:38 10 23 (290) (300) (500) (2000 + 300)
=
2000 (500) + 300 (500) + 2000 (300) + 300 (300) + 500 (300)
= 2:775 10 18
V2 /Hz

Problem A.4
Find the equivalent resistance for the R1 ; R2 ; R3 combination and set RL equal to this to get

R3 (R1 + R2 )
RL =
R1 + R2 + R 3

Problem A.5
Using Nyquist’s formula, we …nd the equivalent resistance looking back into the terminals with Vrm s
across them. It is

Req = 50 k k 20 k k (5 k + 10 k + 5 k)
= 50 k k 20 k k 20 k
= 50 k k 10 k
(50 k) (10 k)
=
50 k + 10 k
= 8; 333

Thus
2
Vrm s = 4kT Req B
23
= 4 1:38 10 (400) (8333) 2 106
= 3:68 10 10
V2

which gives
Vrm s = 19:18 V rms

Problem A.6
APPENDIX A: NOISE MODELING WITH APPLICATIONS TO COMMUNICATIONS 4

To …nd the noise …gure, we …rst determine the noise power due to a source at the output, then
due to the source and the network, and take the ratio of the latter to the former. Initally assume
unmatched conditions. The results are
2
R2 k RL
V02 due to RS , only
= (4kT RS B)
R S + R1 + R 2 k RL

2
R2 k RL
V02 due to R1 and R2
= (4kT R1 B)
R S + R 1 + R2 k RL
2
RL k (R1 + RS )
+ (4kT R2 B)
R2 + (R1 + RS ) k RL

2
R2 k RL
V02 due to RS ; R1 and R2
= [4kT (RS + R1 ) B]
RS + R1 + R 2 k R L
2
RL k (R1 + RS )
+ (4kT R2 B)
R2 + (R1 + RS ) k RL

The noise …gure is (after some simpli…cation)


2 2
R1 RL k (R1 + RS ) R S + R1 + R 2 k R L R2
F =1+ +
RS R2 + (R1 + RS ) k RL R2 k RL RS

In the above,
Ra Rb
Ra k Rb =
Ra + Rb
Note that the noise due to RL has been excluded because it belongs to the next stage. Since this is
a matching circuit, we want the input matched to the source and the output matched to the load.
Matching at the input requires that
R2 RL
RS = Rin = R1 + R2 k RL = R1 +
R2 + RL
and matching at the output requires that

R2 (R1 + RS )
RL = Rout = R2 k (R1 + RS ) =
R1 + R 2 + R S
Next, these expressions are substituted back into the expression for F . After some simpli…cation,
this gives
2 2
R1 2RL RS (R1 + R2 + RS ) = (RS R1 ) R2
F =1+ + 2 2
RS R2 (R1 + RS + RL ) + RL (R1 + R2 + RS ) RS
Note that if R1 >> R2 we then have matched conditions of RL = R2 and RS = R1 : Then, the
noise …gure simpli…es to
R1
F = 2 + 16
R2
APPENDIX A: NOISE MODELING WITH APPLICATIONS TO COMMUNICATIONS 5

Note that the simple resistive pad matching circuit is very poor from the standpoint of noise. The
equivalent noise temperature is found by using

Te = T0 (F 1)
R1
= T0 1 + 16
R2

Problem A.7

a. The important relationships are


T el
Fl = 1 +
T0

Tel = T0 (Fl 1)

T e2 T e3
T e0 = T e1 + +
Ga1 Ga1 Ga2
Completion of the table gives
Ampl. No. F T ei Gai
1 not needed 300 K 10 dB = 10
2 6 dB 864.5 K 30 dB = 1000
3 11 dB 3360.9 K 30 dB = 1000
Therefore,
864:5 3360:9
T e0 = 300 + +
10 (10) (1000)
= 386:8 K

Hence,
T e0
F0 = 1+
T0
= 2:33 = 3:68 dB

b. With ampli…ers 1 and 2 interchanged


300 3360:9
T e0 = 864:5 + +
10 (10) (1000)
= 865:14 K

This gives a noise …gure of


865:14
F0 = 1+
290
= 3:98 = 6 dB
APPENDIX A: NOISE MODELING WITH APPLICATIONS TO COMMUNICATIONS 6

c. See part (a) for the noise temperatures.


d. For B = 50 kHz, TS = 1000 K, and an overall gain of Ga = 107 , we have, for the con…guration
of part (a)

Pna; out = Ga k (T0 + Te0 ) B


= 107 1:38 10 23 (1000 + 386:8) 5 104
9
= 9:57 10 watts

We desire
Psa; out Psa; out
= 104 = 9
Pna; out 9:57 10
which gives
5
Psa; out = 9:57 10 watts
For part (b), we have

Pna; out = 107 1:38 10 23


(1000 + 865:14) 5 104
8
= 1:29 10 watts

Once again, we desire


Psa; out Psa; out
= 104 = 8
Pna; out 1:29 10
which gives
4
Psa; out = 1:29 10 watts
and
Psa; out 11
Psa; in = = 1:29 10 watts
Ga

Problem A.8

a. The noise …gure of the cascade is


F2 1 F 1
Foverall = F1 + =L+ = LF
Ga1 (1=L)

b. For two identical attenuator-ampli…er stages


F 1 L 1 F 1
Foverall = L + + + = 2LF 1 2LF; L >> 1
(1=L) (1=L) L (1=L) L (1=L)

c. Generalizing, for N stages we have

Foverall NFL
APPENDIX A: NOISE MODELING WITH APPLICATIONS TO COMMUNICATIONS 7

Problem A.9

a. The data for this problem is

Stage Fi Gi
1 (preamp) 2 dB = 3.01 G1
2 (mixer) 8 dB = 6.31 1.5 dB = 1.41
3 (ampli…er) 5 dB = 3.16 30 dB = 1000
The overall noise …gure is
F2 1 F3 1
F = F1 + +
G1 G1 G2
which gives
6:31 1 3:16 1
5 dB = 3:16 1:58 + +
G1 1:41G1
or
5:31 (2:16=1:41)
G1 = 2:39 = 2:79 dB
1:58
b. First, assume that G1 = 15 dB = 31:62: Then
6:31 1 3:16 1
F = 1:58 + +
31:62 (1:41) (31:62)
= 1:8 = 2:54 dB

Then

Tes = T0 (F 1)
= 290 (1:8 1)
= 230:95 K

and

Toverall = Tes + Ta
= 230:95 + 300
= 530:95 K

Now use G1 as found in part (a):

F = 3:16
Tes = 290 (3:16 1) = 626:4 K
Toverall = 300 + 626:4 = 926:4 K

c. For G1 = 15 dB = 31:62; Ga = 31:62 (1:41) (1000) = 4:46 104 : Thus

Pna; out = Ga kToverall B


= 4:46 104 1:38 10 23
(530:9) 109
9
= 3:27 10 watts
APPENDIX A: NOISE MODELING WITH APPLICATIONS TO COMMUNICATIONS 8

For G1 = 3:79 dB = 2:39; Ga = 2:39 (1:41) (1000) = 3:37 103 : Thus

Pna; out = 3:37 103 1:38 10 23


(926:4) 107
10
= 4:31 10 watts

Note that for the second case, we get less noise power out even wth a larger Toverall . This is due
to the lower gain of stage 1, which more than compensates for the larger input noise power.

d. A transmission line with loss L = 2 dB connects the antenna to the preamp. We …rst …nd
TS for the transmission line/preamp/mixer/amp chain:
F1 1 F2 1 F3 1
FS = FTL + + + ;
GTL GTL G1 GTL G1 G2

where
2=10
GTL = 1=L = 10 = 0:631 and FTL = L = 102=10 = 1:58
Assume two cases for G1 : 15 dB and 6.37 dB. First, for G1 = 15 dB = 31:6, we have

1:58 1 6:31 1 3:16 1


FS = 1:58 + + +
0:631 (0:631) (31:6) (0:631) (31:6) (1:41)
= 2:84

This gives
TS = 290 (2:84 1) = 534 K
and
Toverall = 534 + 300 = 834 K
Now, for G1 = 3:79 dB = 2:39, we have
1:58 1 6:31 1 3:16 1
FS = 1:58 + + +
0:631 (0:631) (2:39) (0:631) (2:39) (1:41)
= 7:04

This gives
TS = 290 (7:04 1) = 1752 K
and
Toverall = 1752 + 300 = 2052 K

Problem A.10

a. (a) Using
Pna; out = Ga kTS B

with the given values yields


6
Pna; out = 7:45 10 watts
APPENDIX A: NOISE MODELING WITH APPLICATIONS TO COMMUNICATIONS 9

b. We want
Psa; out
= 105
Pna; out
or
Psa; out = 105 7:45 10 6
= 0:745 watts
This gives
Psa; out 8
Psa; in = = 0:745 10 watts
Ga
= 51:28 dBm
APPENDIX A: NOISE MODELING WITH APPLICATIONS TO COMMUNICATIONS 10

Problem A.11

a. For A = 1 dB, Y = 1:259 and the e¤ective noise temperature is


600 (1:259) (300)
Te = = 858:3 K
1:259 1

For A = 1:5 dB, Y = 1:413 and the e¤ective noise temperature is


600 (1:413) (300)
Te = = 426:4 K
1:413 1
For A = 2 dB, Y = 1:585 and the e¤ective noise temperature is
600 (1:585) (300)
Te = = 212:8 K
1:585 1
b. These values can be converted to noise …gure using
Te
F =1+
T0

With T0 = 290 K, we get the following values: (1) For A = 1 dB; F = 5:98 dB; (2) For
A = 1:5 dB; F = 3:938 dB; (3) For A = 2 dB; F = 2:39 dB.

Problem A.12

a. Using the data given, we can determine the following:

= 0:039 m
2
= 202:4 dB
4 d
GT = 39:2 dB
PT GT = 74:2 dBW

This gives
PS = 202:4 + 74:2 + 6 5= 127:2 dBW

b. Using Pn = kTe B for the noise power, we get


Te
Pn = 10 log10 kT0 B
T0
Te
= 10 log10 [kT0 ] + 10 log10 + 10 log10 (B)
T0
1000
= 174 + 10 log10 + 10 log10 106
290
= 108:6 dBm
= 138:6 dBW
APPENDIX A: NOISE MODELING WITH APPLICATIONS TO COMMUNICATIONS 11

c.
PS
= 127:2 ( 138:6)
Pn dB
= 11:4 dB
= 101:14 = 13:8 ratio

d. Assuming the SNR = z = Eb =N0 = 13:8; we get the results for various digital signaling
techniques given in the table below:

Modulation type Error probability


p
BPSK Q 2z = 7:4 10 8
1 z
DPSK 2e = 5:06 10 7
1 z=2
Noncoh. FSK 2e = 5:03 10 4
QPSK Same as BPSK

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