Application of the Two Port Networks to the Ladder Network Synthesis

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Introduction

In electrical network analysis and design, two-port networks provide a powerful framework for representing complex circuits using standardized parameters. One of the most important applications of two-port network theory is in the synthesis of ladder networks, which are widely used in filter design, impedance matching, and communication systems.
Ladder network synthesis involves constructing a network of inductors and capacitors arranged in a ladder-like structure to realize a desired impedance or transfer function. Two-port network parameters make this process systematic, modular, and mathematically tractable.

Two-Port Network Concept

A two-port network is an electrical network with two pairs of terminals: an input port and an output port. The behavior of the network is described by relating input voltages and currents to output voltages and currents using parameter sets.
Common two-port parameters include:
  • Z-parameters (impedance parameters)
  • Y-parameters (admittance parameters)
  • ABCD (transmission) parameters
  • h-parameters (hybrid parameters)
Among these, ABCD parameters are especially useful for ladder network synthesis because they allow easy cascading of network sections.

Ladder Network Overview

A ladder network is formed by alternating series and shunt elements, typically inductors and capacitors. The structure resembles a ladder, where:
  • Series elements form the “rails”
  • Shunt elements form the “rungs”
Ladder networks are preferred in practical filter design because they:
  • Use passive components only
  • Are easy to manufacture
  • Provide stable and predictable frequency responses

Role of Two-Port Networks in Ladder Synthesis

Ladder network synthesis relies on breaking a complex network into a cascade of simpler two-port sections. Each section consists of either a series impedance or a shunt admittance, which can be modeled as a two-port network.
By representing each ladder element as a two-port network and combining them using transmission parameters, the overall network behavior can be derived efficiently.

ABCD Parameters and Cascading

The ABCD parameters (Hybrid Paramenters) relate input and output variables as: $$ \begin{bmatrix} V_1 \\ I_1 \end{bmatrix} = \begin{bmatrix} A & B \\ C & D \end{bmatrix} \begin{bmatrix} V_2 \\ I_2 \end{bmatrix} $$ For ladder networks, this form is ideal because:
  • Cascaded two-port networks multiply their ABCD matrices
  • Overall system behavior is obtained by simple matrix multiplication
  • Each ladder section contributes directly to the final transfer function

Two-Port Representation of Ladder Elements

A ladder network consists of two basic building blocks:

Series Impedance Element

For a series element ( Z ): $$ \begin{bmatrix} A & B \\ C & D \end{bmatrix} = \begin{bmatrix} 1 & Z \\ 0 & 1 \end{bmatrix} $$

Shunt Admittance Element

For a shunt element ( Y ): $$ \begin{bmatrix} A & B \\ C & D \end{bmatrix} = \begin{bmatrix} 1 & 0 \\ Y & 1 \end{bmatrix} $$ These simple forms make ladder synthesis straightforward.

Ladder Network Synthesis Using Two-Port Theory

The synthesis process generally follows these steps:
  • 1. Start with a desired driving-point impedance or transfer function.
  • 2. Express the function in a continued-fraction or polynomial form.
  • 3. Extract series and shunt elements sequentially.
  • 4. Represent each extracted element as a two-port section.
  • 5. Cascade all sections using ABCD matrices.
  • 6. Verify that the final network meets the required specifications.
This structured approach ensures accuracy and repeatability.

Application in Filter Design

Two-port ladder synthesis is extensively used in the design of:
  • Low-pass filters
  • High-pass filters
  • Band-pass filters
  • Band-stop filters
Ladder filters synthesized using two-port networks exhibit:
  • Low sensitivity to component variations
  • Good impedance matching
  • High power handling capability

Application of two-port parameters in Low-pass filters

Another application of two-port parameters is the synthesis (or building) of ladder networks which are found frequently in practice and have particular use in designing passive lowpass filters. Figure 1(a) shows an $ L C $ ladder network with an odd number of elements (to realize an odd-order filter), while Fig. 1(b) shows one with an even number of elements (for realizing an even-order filter).
Fig. 1: LC ladder networks for lowpass filters of: (a) odd order, (b) even order.
When either network is terminated by the load impedance $ Z_{L} $ and the source impedance $ Z_{s} $, we obtain the structure in Fig. 2. To make the design less complicated, we will assume that $ Z_{s}=0 $.
Fig. 2: LC ladder network with terminating impedances.
Our goal is to synthesize the transfer function of the $ L C $ ladder network. We begin by characterizing the ladder network by its admittance parameters, namely,
$$\mathbf{I}_{1}=\mathbf{y}_{11} \mathbf{V}_{1}+\mathbf{y}_{12} \mathbf{V}_{2} \tag{1.a}$$
$$\mathbf{I}_{2}=\mathbf{y}_{21} \mathbf{V}_{1}+\mathbf{y}_{22} \mathbf{V}_{2} \tag{1.b}$$
(Of course, the impedance parameters could be used instead of the admittance parameters.) At the input port, $ \mathbf{V}_{1}=\mathbf{V}_{s} $ since $ \mathbf{Z}_{s}=0 $. At the output port, $ \mathbf{V}_{2}=\mathbf{V}_{o} $ and $ \mathbf{I}_{2}=-\mathbf{V}_{2} / \mathbf{Z}_{L}=-\mathbf{V}_{o} \mathbf{Y}_{L} $. Thus Eq. (1.b) becomes
$$-\mathbf{V}_{o} \mathbf{Y}_{L}=\mathbf{y}_{21} \mathbf{V}_{s}+\mathbf{y}_{22} \mathbf{V}_{o}$$
or
$$\mathbf{H}(s)=\frac{\mathbf{V}_{o}}{\mathbf{V}_{s}}=\frac{-\mathbf{y}_{21}}{\mathbf{Y}_{L}+\mathbf{y}_{22}}$$
We can write this as
$$\mathbf{H}(s)=-\frac{\mathbf{y}_{21} / \mathbf{Y}_{L}}{1+\mathbf{y}_{22} / \mathbf{Y}_{L}} \tag{2}$$
We may ignore the negative sign in Eq. (2) because filter requirements are often stated in terms of the magnitude of the transfer function. The main objective in filter design is to select capacitors and inductors so that the parameters $ \mathbf{y}_{21} $ and $ \mathbf{y}_{22} $ are synthesized, thereby realizing the desired transfer function. To achieve this, we take advantage of an important property of the $ L C $ ladder network: all $ z $ and $ y $ parameters are ratios of polynomials that contain only even powers of $ s $ or odd powers of $ s $-that is, they are ratios of either $ \mathrm{Od}(s) / \operatorname{Ev}(s) $ or $ \operatorname{Ev}(s) / \operatorname{Od}(s) $, where $ \mathrm{Od} $ and $ \mathrm{Ev} $ are odd and even functions, respectively. Let
$$\mathbf{H}(s)=\frac{\mathbf{N}(s)}{\mathbf{D}(s)}=\frac{\mathbf{N}_{o}+\mathbf{N}_{e}}{\mathbf{D}_{o}+\mathbf{D}_{e}} \tag{3}$$
where $ \mathbf{N}(s) $ and $ \mathbf{D}(s) $ are the numerator and denominator of the transfer function $ \mathbf{H}(s) ; \mathbf{N}_{o} $ and $ \mathbf{N}_{e} $ are the odd and even parts of $ \mathbf{N} ; \mathbf{D}_{o} $ and $ \mathbf{D}_{e} $ are the odd and even parts of $ \mathbf{D} $. Since $ \mathbf{N}(s) $ must be either odd or even, we can write Eq. (3) as
$$\mathbf{H}(s)=\left\{\begin{array}{ll}\frac{\mathbf{N}_{o}}{\mathbf{D}_{o}+\mathbf{D}_{e}}, & \left(\mathbf{N}_{e}=0\right) \\\frac{\mathbf{N}_{e}}{\mathbf{D}_{o}+\mathbf{D}_{e}}, & \left(\mathbf{N}_{o}=0\right)\end{array}\right. \tag{4}$$
and can rewrite this as
$$\mathbf{H}(s)=\left\{\begin{array}{ll}\frac{\mathbf{N}_{o} / \mathbf{D}_{e}}{1+\mathbf{D}_{o} / \mathbf{D}_{e}}, & \left(\mathbf{N}_{e}=0\right) \\\frac{\mathbf{N}_{e} / \mathbf{D}_{o}}{1+\mathbf{D}_{e} / \mathbf{D}_{o}}, & \left(\mathbf{N}_{o}=0\right)\end{array}\right. \tag{5}$$
Comparing this with Eq. (2), we obtain the $ y $ parameters of the network as
$$\frac{\mathbf{y}_{21}}{\mathbf{Y}_{L}}=\left\{\begin{array}{ll}\frac{\mathbf{N}_{o}}{\mathbf{D}_{e}}, & \left(\mathbf{N}_{e}=0\right) \\\frac{\mathbf{N}_{e}}{\mathbf{D}_{o}}, & \left(\mathbf{N}_{o}=0\right)\end{array}\right.$$
and
$$\frac{\mathbf{y}_{22}}{\mathbf{Y}_{L}}=\left\{\begin{array}{ll}\frac{\mathbf{D}_{o}}{\mathbf{D}_{e}}, & \left(\mathbf{N}_{e}=0\right) \\\frac{\mathbf{D}_{e}}{\mathbf{D}_{o}}, & \left(\mathbf{N}_{o}=0\right)\end{array}\right.$$
The following example illustrates the procedure.
Example 1: Design the $ L C $ ladder network terminated with a $ 1\Omega $ resistor that has the normalized transfer function
$$\mathbf{H}(s)=\frac{1}{s^{3}+2 s^{2}+2 s+1}$$
(This transfer function is for a Butterworth lowpass filter.)
Solution: The denominator shows that this is a third-order network, so that the $ L C $ ladder network is shown in Fig. 3(a), with two inductors and one capacitor.
Fig. 3: For Example 1.
Our goal is to determine the values of the inductors and capacitor. To achieve this, we group the terms in the denominator into odd or even parts:
$$\mathbf{D}(s)=\left(s^{3}+2 s\right)+\left(2 s^{2}+1\right)$$
so that
$$\mathbf{H}(s)=\frac{1}{\left(s^{3}+2 s\right)+\left(2 s^{2}+1\right)}$$
Divide the numerator and denominator by the odd part of the denominator to get
$$\mathbf{H}(s)=\frac{\frac{1}{s^{3}+2 s}}{1+\frac{2 s^{2}+1}{s^{3}+2 s}} \tag{1.1}$$
From Eq. (2), when $\mathbf{Y}_L=1$,
$$\mathbf{H}(s)=\frac{-y_{21}}{1+y_{22}} \tag{1.2}$$ Comparing Eqs. (1.1) and (1.2), we obtain
$$ \mathbf{y}_{21}=-\frac{1}{s^3+2 s}, \quad \mathbf{y}_{22}=\frac{2 s^2+1}{s^3+2 s} $$
Any realization of $y_{22}$ will automatically realize $y_{21}$, since $y_{22}$ is the output driving-point admittance, that is, the output admittance of the network with the input port short-circuited. We determine the values of $L$ and $C$ in Fig. 3(a) that will give us $\mathbf{y}_{22}$. Recall that $\mathbf{y}_{22}$ is the short-circuit output admittance. So we short-circuit the input port as shown in Fig. 3(b). First we get $L_3$ by letting
$$ \mathbf{Z}_A=\frac{1}{\mathbf{y}_{22}}=\frac{s^3+2 s}{2 s^2+1}=s L_3+\mathbf{Z}_B \tag{1.3} $$
By long division,
$$ \mathbf{Z}_A=0.5 s+\frac{1.5 s}{2 s^2+1} \tag{1.4} $$
Comparing Eqs. (1.3) and (1.4) shows that
$$ L_3=0.5 \mathrm{H}, \quad \mathbf{Z}_B=\frac{1.5 s}{2 s^2+1} $$
Next, we seek to get $C_2$ as in Fig. 3(c) and let
$$ \mathbf{Y}_B=\frac{1}{\mathbf{Z}_B}=\frac{2 s^2+1}{1.5 s}=1.333 s+\frac{1}{1.5 s}=s C_2+Y_C $$
from which $C_2=1.33 \mathrm{~F}$ and
$$ \mathbf{Y}_C=\frac{1}{1.5 s}=\frac{1}{s L_1} \quad \Longrightarrow \quad L_1=1.5 \mathrm{H} $$
Thus, the $L C$ ladder network in Fig. 3(a) with $L_1=1.5 \mathrm{H}, C_2=$ $1.333 \mathrm{~F}$, and $L_3=0.5 \mathrm{H}$ has been synthesized to provide the given transfer function $\mathbf{H}(s)$. This result can be confirmed by finding $\mathbf{H}(s)=\mathbf{V}_2 / \mathbf{V}_1$ in Fig. 3(a) or by confirming the required $y_{21}$.

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