RF, Microwave & Wireless · 2018. 10. 4. · Physical causes of nonlinearity Operation under finite...

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Transcript of RF, Microwave & Wireless · 2018. 10. 4. · Physical causes of nonlinearity Operation under finite...

RF, Microwave & Wireless

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Non-Linearity Phenomenon

Physical causes of nonlinearity

►Operation under finite power-supply voltages

►Essential non-linear characteristics of electronic

active components (transistors, diodes, etc.)

►Mismatch of input signal levels to a design

►Mismatch of number of input signals to a design

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Problems caused by nonlinear distortions

►Transmission

Harmonics

Emission Mask spillover

EVM and Image Rejection degradation

Reduce efficiency (by backoff)

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Problems caused by nonlinear distortions

►Reception

Spurii (“signals” show up, even if

nonexistent at input)

Reduce dynamic range

Reduce sensitivity (desensitization)

Blocking of desired signals

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Harmonic Distortion

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f 1 3f 1 4f 1 5f 12f 1

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Intermodulation

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Fundamental

Distortion Products

(Spurii)

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Blocking (De-Sensing)

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The presence of

an adjacent strong

signal blocks the

weak signal

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in in

out out Gain

Reduced

Gain

Small Signal

Linear Region

Saturation

Region

Compression

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1 dB compression point

►Definition

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The 1 dB compression point specifies the output power of an amplifier at which the output signal lags behind the nominal output power by 1 dB.

Compression

►Definition of the 1 dB compression point at the amplifier input (Pin/1dB) and at the amplifier output (Pout/1dB)

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Compression

►Gain versus output power and definition of the 1 dB

compression

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Linear Region

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Saturation Region

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Models of nonlinear blocks and their characterization

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Pout[dBm]

Pin[dBm]Pout[dBm]

Pin[dBm]

Pin[dBm]

∆Φ[deg.]

Pin[dBm]

∆Φ[deg.]

Linear Block

Non-Linear Block

Saturation

Amplitude ResponsePhase Response

@f0

@f0

AM-AM AM-PM

Nonlinearities

►An ideal amplifier

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The connection to the input and output voltage is as follows:

The voltage transfer function of the linear two-port is as follows:

Nonlinearities

►In practice

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where vout(t) voltage at output of two-port

vin(t) voltage at input of two port

a0 DC component

a1 gain √G

an coefficients of the nonlinear

element of the voltage gain

Single-tone driving – Harmonics

► If a single sinusoidal signal vin(t) is applied to the input of the two port

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this is referred to as single-tone driving.

Single-tone driving – Harmonics

►Applying the trigonometric identity:

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Single-tone driving – Harmonics

►Spectrum before and after a nonlinear two-port block:

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Single-tone driving – Harmonics

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Single-tone driving – Harmonics

► The levels of harmonics increase over

proportionally with their order as the input

level increases, i.e.

Changing the input level by A dB

Changes the nth harmonic level by n · A dB

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Note: This assumes the memory-less modelling applies.

Two-tone driving – Intermodulation

►Two-tone driving applies a signal v(t) into the input of

the two-port block.

►This signal consists of the sum of two sinusoidal

harmonic tones.

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Two-tone driving – Intermodulation

► The new frequencies produced may be evaluated using the

following trigonometric identities:

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Intermodulation products up to max. 3rd order with two-tone driving

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Two-tone driving – Input Signals

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Output spectrum of a nonlinear two-port with two-tone driving

for intermodulation products up to max. 3rd order

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In-Band and Harmonic Band Spectra

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Second and Third Order Intercept Points

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Intermodulation products for V1=V2=V

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Slope of OIP2 and OIP3 vs. Pin [dBm]

►The log-log power plot of IM2 is of slope 2dB/dB

►The log-log power plot of IM3 is of slope 3dB/dB

►The log-log power plot of IMN is of slope NdB/dB

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The third-order intercept and 1 dB compression points

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Fundamental vs. 3rd Order

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OIP3 and OIM3 – Linear Scale

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3

3

32 2 2

213 3

2

1

3IP

3

1out1 3IP

3

2

2 3 3

out3 3 in 3 in

2

6 3 3 331 in in3 2

1 3

a A 9 AAt IP : a

2 4 2

aA 2thus .

2 3 a

a2P OIP .

3 a

9 3Also IM a P a P

4 2

a3 1a P G P

2 a OIP

3rd Order Intermodulation Equations

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OIP3[dBm]=IIP3[dBm]+G[dB]

𝑃𝑖𝑛 𝑑𝐵𝑚 = ∆𝑃3 𝑑𝐵𝑐 + 𝑃𝑜𝑢𝑡3 𝑑𝐵𝑚 − 𝐺[𝑑𝐵]

∆𝑃3 dBc = 𝑃𝑜𝑢𝑡1[dBm]-𝑃𝑜𝑢𝑡3[dBm]=

=2(𝑂𝐼𝑃3[dBm]-𝑃𝑜𝑢𝑡1[dBm])=

=2

3(𝑂𝐼𝑃3[dBm]-𝑃𝑜𝑢𝑡3[dBm])

3rd Order Intermodulation Equations (2)

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𝑂𝐼𝑃3[dBm]=𝑃𝑜𝑢𝑡1[dBm]+ ∆𝑃3 dBc

2

𝑃𝑜𝑢𝑡3[dBm]= 3𝑃𝑖𝑛[dBm]+3G[dB]-2 𝑂𝐼𝑃3[dBm] =

= 3𝑃𝑜𝑢𝑡1[dBm]-2 𝑂𝐼𝑃3[dBm]

Spurious Free Dynamic Range

►Definition

Maximal to minimal input signal power ratio in dB

Maximal signal such that the 2-Tone IM products

are at the output noise power level

Minimal signal equals the sensitivity with a

prescribed SNRout.

Assume here SNRout=1 (0dB).

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Spurious Free Dynamic Range (cont’d)

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For 3rd order IM Products at the noise level:

If SNRout ≠ 0dB in the sensitivity definition, then:

3

2[ 10log( ( ) )]

3[ ]in r out

SDR OIP kT BF G

NdB

3

2[ 10log( [ ])]

3in rDR OIP kT BF G dB

∆𝑃3 dBc =2

3(𝑂𝐼𝑃3[dBm]-𝑃𝑜𝑢𝑡3[dBm])

Cascade Intercept Point

Assuming incoherent combining of IM products it

is possible to show that:

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2nd Order IM’s:

3rd Order IM’s:

(1) (2) ( 1) ( )

2 2 2 3 2 2 2

1 1 1 1 1...

sys N N

N N NOIP G G OIP G G OIP G OIP OIP

2 (1) 2 (2) 2 ( 1) 2 ( ) 2

3 2 3 3 3 3 3

1 1 1 1 1...

( ) ( ) ( ) ( ) ( )sys N N

N N NOIP G G OIP G G OIP G OIP OIP

Cascade Intercept Point – Another Form

Assuming incoherent combining of IM products it

is possible to show that:

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2nd Order IM’s:

3rd Order IM’s:

(1) (2) ( )

2 1 2 1 2 2 2

1...T T T

sys N

T

G G G

OIP G OIP G G OIP G OIP

2 2 2

2 (1) 2 (2) 2 ( ) 2

3 1 3 1 2 3 3

1...

( ) ( ) ( ) ( )

T T T

sys N

T

G G G

OIP G OIP G G OIP G OIP

Measuring Nonlinear Behavior

Most common measurements: Second level

using a network analyzer and power sweeps

gain compression

AM to PM conversion

using a spectrum analyzer + source(s)

harmonics, particularly second and third

intermodulation products resulting from two or more RF carriers

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Two Tone Test – Setup

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Third order Spurious Free Dynamic Range, SFRD-3

►Spurious Free Dynamic Range

►Definition

Maximal to minimal input signal power ratio in dB

Maximal signal such that the 2-Tone IM products are at the output noise power level

Minimal signal equals the sensitivity with a prescribed SNRout. Assume here (or if not specified otherwise) SNRout=1 (0dB).

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Design Tradeoffs between linearity and Sensitivity Optimization

►Sensitivity Optimization

First stage with high gain

First stage with low NF

►Linearity Optimization

Limit the gain of the first stages

Last stage with high IP

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