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Mathcad - ee217projtodonew2.mcd

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100<br />

10<br />

1<br />

0.1<br />

0.01<br />

0.01 0.1 1 10 100<br />

| S11 |<br />

| S21 |<br />

| S12 |<br />

| S22 |<br />

Fig. 8: S Parameters vs. Frequency<br />

Stability Analysis<br />

Often it happens a designer designs an amplifier, but he gets an oscillator in return. This<br />

scenario typically occurs at frequencies out of the desired band, where the source and load<br />

impedances can be unknown. If the out of band source and load impedances are unknown it is<br />

desirable to make the amplifier stable for all source and load impedances. This is known as an<br />

unconditionaly stable amplifier. If the out-of-band source and load impedances are known it is<br />

possible to design a conditionally stable amplifier design. Usually conditionally stable amplifiers<br />

can acheive higher performance levels than unconditionally stable amplifiers. This is becuase<br />

the amplifier performance must be degraded some with form of ballasting resistor to make it<br />

stable.<br />

It is desirable to make the stability factor greater than one for another reason other than<br />

stability. With a K factor greater than one it is possible to simultaneously conjugate match the<br />

input and output impedance of the amplifier. Conjugate matches are desirable, because the<br />

filters connected to the amplifier require a conjugate impedance to provide their specified<br />

frequency response.<br />

For a K factor of one, the real part of the matching impedances is zero ohms, so it is<br />

impossible to match with practical matching networks. For this same reason it is desirable to<br />

make the K factor some value significantly larger than one.<br />

KS ( ) ∆ S .<br />

1, 1<br />

S 22 ,<br />

S .<br />

12<br />

,<br />

S 2,<br />

1<br />

1 ( ∆ ) 2 2<br />

S 1, 1<br />

2. S .<br />

1,<br />

2<br />

S 21 ,<br />

2<br />

S 2, 2<br />

K Sparam N, I C , s = 1.016<br />

The mu factor is often a more desirable parameter to use for stability than K factor. This is<br />

because the K factor must be specified with other conditions, such as ∆. In this sense the µ<br />

factor is easier to use, because it does not require any other parameters to guarantee<br />

unconditional stability. Although the K factor and µ factor curves are different, their values are<br />

equal for the transition point between unconditionally stable and conditionally stable regions<br />

(K=µ=1). µ S<br />

.<br />

, , s = 1.102<br />

( ) ∆ S .<br />

1, 1<br />

S 22 ,<br />

S 12<br />

S 1 1<br />

,<br />

S 2,<br />

1<br />

2<br />

1 S 22 ,<br />

,<br />

∆ . S 2,<br />

2<br />

S .<br />

2 1<br />

,<br />

S 12 ,<br />

µ Sparam N I C

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