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IMPEDANCE TRANSFORMERS AND TAPERS

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IMPEDANCE TRANSFORMERS AND TAPERS Lecturers: Llu s Pradell (pradell_at_tsc.upc.edu) ... MATCHING NETWORKS LEVY DESIGN Lecturers: Llu s Pradell ... – PowerPoint PPT presentation

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Title: IMPEDANCE TRANSFORMERS AND TAPERS


1
IMPEDANCE TRANSFORMERS AND TAPERS
Lecturers Lluís Pradell (pradell_at_tsc.upc.edu)
Francesc Torres (xtorres_at_tsc.upc.edu)
March 2010
2
The quarter-Wave Transformer (i)
A quarter-wave transformer can be used to match a
real impedance ZL to Z0
Zin
Z1
ZL
Z0
If
The matching condition at fo is
At a different frequency and
the input reflection coefficient is
The mismatch can be computed from
Pozar 5.5
3
The quarter-Wave Transformer (ii)
If Return Loss is constrained to yield a maximum
value , the
frequency that reaches the bound can be computed
from
Where for a TEM transmission line
And the bound frequency is related to the design
frequency as
4
The quarter-Wave Transformer (iii)
Finally, the fractional bandwdith is given by
5
Multisection transformer (i)
The theory of small reflections
In the case of small reflections, the reflection
coefficient can be approximated taking into
account the partial (transient) reflection
coefficients
That is, in the case of small reflections the
permanent reflection is dominated by the two
first transient terms transmission line
discontinuity and load
Pozar 5.6
6
Multisection transformer (ii)
The theory of small reflections can be extended
to a multisection transformer
It is assumed that the impedances ZN increase or
decrease monotically
The reflection coefficients can be grouped in
pairs (ZN may not be symmetric)
7
Multisection transformer (iii)
The reflection coefficient can be represented as
a Fourier series
for N even
for N odd
Finite Fourier Series periodic function (period
q p)
  • Any desired reflection coefficient behaviour over
    frequency can be synthesized by properly choosing
    the coefficients and using enough
    sections
  • Binomial (maximally flat) response
  • Chebychev (equal ripple) response

8
Binomial multisection matching transformer (i)
Binomial function
The constant A is computed from the transformer
response at f0
The transformer coefficients are
computed from the response expansion
The transformer impedances Zn are then computed,
starting from n0, as
9
Binomial multisection matching transformer (ii)
10
Binomial multisection matching transformer (iii)
Bandwidth of the binomial transformer
The maximum reflection at the band edge is given
by
The fractional bandwitdh is then
11
Chebyshev multisection matching transformer
Chebyshev polynomial
12
Chebyshev transformer design
13
Chebyshev transformer design
Application Microstrip to rectangular wave-guide
transition both source and load impedances are
real.
Ridge guide section
Rectangular guide
Steped ridge guide
Microstrip line
Ridge guide five ?/4 sections Chebychev design
14
TRANSFORMER EXAMPLE (1)ADS SIMULATION
Chebyshev transformer, N 3, GM0.05 (ltotal
3l/4)
87,14 W
70,71 W
100 W
57,37 W
50 W
15
TRANSFORMER EXAMPLE (2)ADS SIMULATION
BW 102
microstrip loss
16
Tapered lines (i)
Taper transmission line with smooth
(progressive) varying impedance Z(z)
The transient ?G for a piece ?z of transmission
line is given by
In the limit, when Dz 0
This expression can be developed taking into
account the following property
17
Tapered lines (ii)
Taking into account the theory of small
reflections, the input reflection coefficient is
the sum of all differential contributions, each
one with its associated delay
Taper electrical length
Fourier Transform
  • Exponential taper
  • Triangular taper
  • Klopfenstein taper

18
Exponential Taper
for 0 ltz lt L
Fourier Transform
bL
(sinc function)
19
Triangular taper
(squared sinc function)
- lower side lobes - wider main lobe
bL
20
Klopfenstein Taper
Based on Chebychev coefficients when n?8. Equal
ripple in passband
ltaper l
Shortest length for a specified GM
bL
Lowest GM for a specified taper length
21
Example of linear taper ridged wave-guide
Microstrip to rectangular wave-guide transition
SECTION C-C
SECTION B-B
SECTION A-A
Microstrip line
Ridged guide
Rectangular guide
22
Example of taper finline wave guide
Rectangular wave-guide to finline to transition
Finline mixer configuration
23
TAPER EXAMPLE (1)ADS SIMULATION
ADS taper model
24
TAPER EXAMPLE (2)ADS SIMULATION
Aproximation to exponential taper using ADS 10
sections of l/10
57,44 W
50 W
53,59 W
61,56 W
65,97 W
70,71 W
87,05 W
93,30 W
100 W
75,79 W
81,22 W
25
TAPER EXAMPLE (3)ADS SIMULATION
Aproximation to exponential taper using ADS 10
sections of l/10
50 W
53,59 W
57,44 W
61,56 W
65,97 W
70,71 W
75,79 W
81,22 W
87,05 W
93,30 W
100 W
26
TAPER EXAMPLE (4)ADS SIMULATION
- 10 section approx. - ADS model
27
TAPER EXAMPLE (5)ADS SIMULATION
ltaper l _at_ 10 GHz
- 10 section approximation - ADS model
28
TAPER EXAMPLE (6)ADS SIMULATION
(lil/2)
(lil/10)
- ADS model - 10 section approximation is
periodic.
29
MATCHING NETWORKS
  • LEVY DESIGN

Lecturers Lluís Pradell (pradell_at_tsc.upc.edu)
Francesc Torres (xtorres_at_tsc.upc.edu)
30
MATCHING NETWORKS
Z0
Pd1
PdL
Matching Network (passive lossless)
r (f)
Vs
r1 (f)
Maximize Gt(w2)
Minimize r1 (f)
31
CONVENTIONAL CHEBYSHEV FILTER (1)
LC low-pass filter
Conversion from Low-Pass to Band- Pass filter
Relative bandwidth
Center frequency
32
CONVENTIONAL CHEBYSHEV FILTER (2)
Pass-band ripple
Chebychev polynomials
33
CONVENTIONAL CHEBYSHEV FILTER (3)
Fix pass-band ripple and filter order n
g0, g1,.., gn1 are the low-pass LC filter
coefficients
34
APPLICATION TO A MATCHING NETWORK
Transistor modeled with a dominant RLC behaviour
in the pass-band to be matched
Solution (?) increase en (n constant) a, x
decrease or increase n (en constant)
a, x decrease
The final design may be out of specifications n
too high (too many sections) or r too large
35
LEVY NETWORK (1)
SOLUTION An additional parameter is introduced
Knlt1
36
LEVY NETWORK (2)
SOLUTION Additional design equations
Example n 2
37
LEVY NETWORK (3)
Design procedure
a) Choose Cs1 or Ls1 taking into account the load
to be matched
b) Choose network order (n) and compute g1
c) Compute x-y from the parameter g1
38
LEVY NETWORK (4)
OPTIMAL DESIGN minimize
d) Choose x, compute y,
Example usual case n2
Optimum x
For n2
Select Ls1 (or Cs1) and n. Compute g1. and x-y.
Then determine x, y and Kn, en
x ? y ? b ?
The matched bandwith can be increased from 5 to
20 with n2, with moderate Return Loss
requirements (20 dB)
? a ?
39
LEVY NETWORK EXAMPLE (1)
40
LEVY NETWORK EXAMPLE (2)
41
LEVY NETWORK EXAMPLE (3)ADS SIMULATION
A transformer is necessary since g3?1 (R3?50 O).
This transformed must be eliminated from the
design
42
Norton Transformer equivalences
STEPS1) the capacitor C2 is pushed towards the
load through the transformer 2) The transformer
is eliminated using Norton equivalences
43
LEVY NETWORK EXAMPLE (4)ADS SIMULATION
44
SMALL SERIES INDUCTANCES AND PARALLEL
CAPACITANCES IMPLEMENTED USING SHORT TRANSMISSION
LINES
L, C elements are then synthesized by means of
short transmission lines
45
SMALL SERIES INDUCTANCES AND PARALLEL
CAPACITANCES IMPLEMENTED USING SHORT TRANSMISSION
LINES EXAMPLE
46
LEVY NETWORK EXAMPLE ADS SIMULATION (5)
47
LEVY NETWORK EXAMPLE ADS SIMULATION (6)
48
LEVY NETWORK EXAMPLE (7)ADS SIMULATION
optimization
49
LEVY NETWORK EXAMPLE (8)ADS SIMULATION
optimization
50
LEVY NETWORK EXAMPLE (9)ADS SIMULATION
optimization
51
LEVY NETWORK EXAMPLE (10)ADS SIMULATION
optimization
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