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Analog Filters: Introduction

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Analog Filters: Introduction Franco Maloberti Historical Evolution Frequency and Size Active filters will achieve ten of GHz in monolitic form Introduction An ... – PowerPoint PPT presentation

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Title: Analog Filters: Introduction


1
Analog Filters Introduction
  • Franco Maloberti

2
Historical Evolution
3
Frequency and Size
  • Active filters will achieve ten of GHz in
    monolitic form

4
Introduction
  • An analog filter is the interconnection of
    components (resistors, capacitors, inductors,
    active devices)
  • It has one input (excitation) and one input
    (response)
  • It determines a frequency selective transmission.

Input
Output
Analog Filter
x(t)
y(t)
5
Classification of Systems
  • Time-Invariant and Time-Varying
  • The shape of the response does not depends on the
    time of application of the input
  • Casual System
  • The response cannot precede the excitation

6
Classification of Systems
  • Linear and Non-linear
  • A system is linear if it satisfies the principle
    of superposition
  • Continuous and Discrete-time
  • In a continuous-time or continuous analog system
    the variables change continuously with time
  • In discrete-time or sampled-data systems the
    variables change at only discrete instants of time

7
Linear Continuous Time-Invariant
  • If a system is composed by lumped elements (and
    active devices)
  • Linear differential equations, constant
    coefficients
  • x(t), input, and y(t), output,are current and/or
    voltages
  • For a given input and initial conditions the
    output is completely determined

8
Responses of a linear system
  • Zero-input response
  • Is the response obtained when all the inputs are
    zero.
  • Depends on the initial charges of capacitors and
    initial flux of inductors
  • Zero-state response
  • Is the response obtained with zero initial
    conditions
  • The complete response will be a combination of
    zero-input and zero-state.

9
Frequency-domain Study
  • Remember that the Laplace transform of
  • The equation
  • Becomes
  • ICy(s) and ICx(s) accounts for initial conditions

10
Transfer Function
  • If X(s) is the input and Y(s) the zero-state
    output
  • Input voltage, output voltage voltage TF
  • Inpur current, output current Current TF
  • Input votage output current Transfer impedance
  • Input current, ourput voltage Trasnsfer
    admittance

11
Transfer Function
  • Input and output ar normally either voltage or
    current
  • Where Y(s) and X(s) are the Laplace transforms of
    y(t) and x(t) respectively.
  • In the frequency domain the focus is directed
    toward
  • Magnitude and/or Phase on the j axis of s

12
Magnitude and Phase
  • Magnitude is often expressed in dB
  • Important is also the group delay
  • When both magnitude and phase are important the
    magnitude response is realized first. Then, an
    additional circuit, the delay equalizer, improves
    the delay function.

13
Real Transfer Function
  • The coefficients of the TF are real for a linear,
    time-invariant lumped network.
  • Only real or conjugate pairs of complex poles
  • For stability the zeros of D(s) in the half left
    plane
  • D(s) is a Hurwitz polynomial

14
Minimum Phase Filters
  • When the zeros of N(s) lie on or to the left of
    the jw-axis H(s) is a minimum phase function.

15
Type of Filters
  • Low-pass
  • High-pass
  • Band-pass
  • Band-Reject
  • All-Pass

1
f
0
1
fc
f
1
0
fc
f
1
0
fc1
fc2
f
0
1
fc
fc2
f
0
16
Approximate Response
  • Pass-band ripple ap20LogAmax/Amin
  • Stop-band attenuation, Asb
  • Transition-band ratio wp, ws

Amax
Amin
Asb
wp
ws
17
MATLAB
  • Works with matrices (real, complex or symbolic)
  • Multiply two polinomials
  • f1(s)5s34s22s 1 f2(s)3s25
  • clear all
  • f15 4 2 1
  • f2 3 0 5
  • f3 conv(f1, f2)
  • 15 12 31 23 10 5
  • f3(s)15s512s4 31s3 23s2 10s 5

18
Frequency Scaling
  • If every inductance and every capacitance of a
    network is divided by the frequency scaling
    factor kf, then the network function H(s) becomes
    H(s/kf).
  • Xc1/sC Xc1/s(C/kf)1/C(s/kf)
  • XLsL XLs(L/kf)L(s/kf)
  • What occurs at w in the original network now
    will occur at kf w.

19
Impedance Scaling
  • All elements with resistance dimension are
    multiplied by kz
  • R -gt kz R wL -gtkzwL (VxaIcont) a -gt a kz
  • All elements with capacitance dimension are
    divided by kz
  • G -gt G/kz wC -gtwC /kz (IxbVcont) b -gt b/kz
  • Impedences multiplied by kz
  • Admittances divided by kz
  • Dimensionless variables unchanged

20
Normalization and Denormalization
  • Normalized filters use the key angular frequency
    of the filter (wp in a low-pass, ) equal to 1.
  • One of the resistance of the filter is set to 1
  • or
  • One capacitor of the filter is set to 1
  • Frequency scaling and impedance scaling are
    eventually performed at the end of the design
    process

21
Design of Filters Procedure
  • Specifications
  • Kind of network
  • Input network
  • Infinite, zero load
  • Single terminated/Double terminated
  • Mask of the filter
  • Magnitude response
  • Delay response
  • Other features
  • Cost, volume, power consumption, temperature
    drift, aging,

22
Design of Filters Procedure (ii)
  • Normalization
  • Set the value of one key component to 1
  • Set the value of one key frequency to 1
  • Approximation
  • To find the transfer function that satisfy the
    (normalized) amplitude specifications (and, when
    required, the delay specification.
  • Many transfer functions achieve the goal. The key
    task is to select the cheapest one

23
Design of Filters Procedure (iii)
  • Network Synthesis (Realization)
  • To find a network that realizes the transfer
    function
  • Many networks achieve the same transfer function
  • Active or passive implementation
  • The behavior of networks implementing the same
    transfer function can be different (sensitivity,
    cost,
  • Denormalization
  • Impedance scaling
  • Frequency scaling
  • Frequency transformation
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