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AN540

更新时间： 2024-11-15 03:18:47

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美国微芯 - MICROCHIP		/
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17页	132K
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Implementing IIR Digital Filters

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AN540 数据手册

Implementing IIR Digital Filters

AN540

Implementing IIR Digital Filters

INTRODUCTION

THEORY OF OPERATION

This application note describes the implementation of

various digital filters using the PIC17C42, the first mem-

ber of Microchip’s 2nd generation 8-bit microcontrollers.

The PIC17C42 is a very high speed 8-bit microcontroller

with an instruction cycle time of 250ns (@ 16 MHz input

clock). Even though PIC17C42 is an 8-bit device, it’s

high speed and efficient instruction set allows imple-

mentation of digital filters for practical applications.

Traditionally digital filters are implemented using expen-

sive Digital Signal Processors (DSPs). In a system the

DSP is normally a slave processor being controlled by

either an 8- or 16-bit microcontroller. Where sampling

rates are not high (esp. in mechanical control systems),

a single chip solution is possible using the PIC17C42.

Digital filters in most cases assume the following form of

relationship between the output and input sequences.

^{y(n) = -}∑ a_iy(n - i) + ∑ b_jx(n - j)

j=o

i=o

The above equation basically states that the present

output is a weighted sum of the past inputs and past

outputs. In case of FIR filters, the weighted constants

ai=0 and in case of IIR filters, at least one of the ai

constant is non zero. In case of IIR, the above formula

may be re written in terms of Z transform as:

-k

∑ b_kZ

This application note provides a few examples of imple-

menting digital filters. Example code for 2nd order Infi-

nite Impulse Response (IIR) filters is given. The follow-

ing type of filters are implemented:

Y(z)

X(z)

k=0

H(z) =

1 + ∑ a_kZ ^-k

k=1

The above equation can further be rewritten in differ-

ence equation format as follows:

• Low Pass

• High Pass

• Band Pass

y(n) = - ∑ a_iy(n - i) + ∑ b_jx(n - j)

• Band Stop (notch) filter

j=o

i=1

Realization of the above equation is called as the Direct

FormIIstructure. Forexample, incaseofasecondorder

structure, M=N=2, gives the following difference equa-

tions :

This application note does not explain how to design a

filter. Filter design theory is well established and is

beyond the scope of this application note. It is assumed

that a filter is designed according to the desired specifi-

cations. The desired digital filters may be designed

using either standard techniques or using commonly

available digital filter design software packages.

d(n) = x(n) + a₁d(n-1) + a₂d(n-2)

y(n) = b₀d(n) + b₁d(n-1) + b₂(d(n-2)

(1)

(2)

Finite Impulse Response (FIR) filters have many advan-

tages over IIR filters, but are much more resource

intensive (both in terms of execution time and RAM). On

the other hand, IIR filters are quite attractive for imple-

mentingwiththePIC17C42resources.Especiallywhere

phase information is not so important, IIR filters are a

good choice (FIR filters have a linear phase response).

Of the various forms used for realizing digital filters (like,

Direct form, Direct II form, Cascade form, Parallel,

Lattice structure, etc.) the Direct II form is used in this

application note. It is easy to understand and simple

macros can be built using these structures.

The above difference equations may be represented as

shown in Figure 1.

FIGURE 1 - 2ND ORDER DIRECT FORM II

STRUCTURE (TRANSPOSED)

X(n)

Y(n)

Z^-1

-a1

-a2

Z^-1

DS00540B-page 1

4-129

12 3 4 5 6 7...17

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