Radio Frequency Filters

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Radio Frequency Filters Material courtesy of Fikret Dülger, Texas A&M University Electrical and Computer Engineering Department Analog & Mixed-Signal Design Center ECEN 665 (ESS)

Transcript of Radio Frequency Filters

Radio Frequency Filters

Material courtesy of Fikret Dülger,

Texas A&M UniversityElectrical and Computer Engineering Department

Analog & Mixed-Signal Design Center

ECEN 665 (ESS)

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Outline

Problem Definition, Motivations and Research Goal

A Fully-Integrated Q-Enhancement LC Bandpass Filter

Noise AnalysisNonlinearity AnalysisIC Measurements of the Filter in 0.35μm CMOS

Comparison with previous reported filters and Conclusions

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Problem Definition and Motivations

Wireless Communication systems have become an important part of our daily lives.

The demand towards lower cost makes the task of circuit designers more and more challenging.

This translates into the circuit specifications with lower power consumption, smaller die area but without any compromise from higher performance .

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Problem Definition and Motivations

Transceiver front-ends are the sections next to the antenna.

Frequency range of interest is from 900 MHz to 2.4 GHz.

In state-of-the-art solutions, the bandpass filters are off-chip.

MOTIVATION FOR INTEGRATION!

to the IF Strip

ImageRejectFilter

LNA

BPFPA

Duplexer

90o

Baseband I

Baseband Q

LO2

LO1

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Research Goal

The feasibility of a Q-enhanced bandpass filter designed with a standard (low cost) CMOS technology at 2 GHz is investigated.

The issue is addressed through the simulations, analyses, and the experimental verification of a prototype designed and fabricated in a 0.35μm CMOS technology.

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Q-Enhancement Bandpass Filters

GmVin+

Q - EnhancementControl

M1 M2

Vout- Vout+

L

C C

L

Vdd

-G

GmVin+-G2L C Gloss

2Vout

+

(b)(a)

FrequencyControl

2 2

2

)(

1

1

stabilityforGGGG

QQLG

Q

loss

loss

o

lossoo

>

−=⇒≡

ω

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A CMOS Programmable RF Bandpass Filter

Programmable in:•Peak Gain (not exploited previously)•Filter Q•Center Frequency

LQjGjH oomo ωωω )()( ≅

LCo1

≅ω

M5 M6

Vcontrol

Vout- Vout+

L

C C

L

Vdd

Rdeg1 Rdeg2

M1 M2

Vin

+

-

M7 M8

IQboost

M3

M4

IBias( Q Tuning )

( Frequency Tuning )

( Gain Tuning )

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A CMOS Programmable BandpassFilter

The peak gain programmability through the input Gmstage.

Increasing Q also increases the peak gain.

If ωοand Q are fixed, the peak gain can be modified through Gm.

LQjGGG

jGjH oomloss

omo ωωωω )()()( =

−≅

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Noise Analysis

GmVin1

Vin

RS

Cin L Gloss

- GItank

2 I G

2Vout

Rdeg

C

Csb IR

2

deg

2Id1

VR2

S

Mean squarenoise voltageof the source resistance

Mean square noise current of the source degeneration resistor

Mean square noise current of the input Gm stage

Mean square noise current of the LC tank

Mean square noise current of the negative conductancegenerator

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Noise Analysis (contd.)

The noise factor at ωo is obtained as

The calculations yield the following percentage contributions from the components:

Increasing Gm reduces the contribution of -G and the LC tank

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2

2

221

22

42

4

)(2281 deg

mS

d

mS

oSmRGloss

GkTRI

GkTR

jZGIIkTGF inin +

+++= − ω

LC Tank: 44.5%, -G: 38%, Input Gm: 13.5%, Rdeg: 2.7%

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Nonlinearity Analysis

There are three main nonlinearity contributors:

the negative conductance generatorthe varactorthe input Gm stage

The analyses consider each contributor separately!

Isolating each contributor allows us to identify the design trade-offs involved.

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Nonlinearity Analysis (contd.)

•The nonlinear behavior of the Negative Conductance is isolated first.

•We use the method proposed by Wambacq/Sansen in “Distortion Analysis of Analog Integrated Circuits”.

Contribution of the Negative Conductance Generator

GmVinVin L CGloss G=f( Vout )Vout

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Noise-linearity, Q-selectivity-linearity trade-offs !

The 1dB compression point is approximated as:

The effective bias of the negative conductance should be maximized With a higher Qo, a lower gm5 is required: higher eff. bias with given Iss. The higher the peak gain, GmQωoL, the worse the linearity.

( )⎟⎟⎠

⎞⎜⎜⎝

⎟⎟⎠

⎞⎜⎜⎝

⎛−+

+

×≅ 3332

555

5222

11

12

32.2

5

5

LQGVV

gKK

gV

om

TGS

m

mdB ω

θθ

( )( ) ⎟⎟⎠

⎞⎜⎜⎝

−+⎟⎟⎠

⎞⎜⎜⎝

⎛≅ 3

555

52 1

12 TGS

OXo

VVLWCK

θμ

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Nonlinearity Contribution of the Varactor

Higher peak voltage gain, GmQωoL, degrades linearityTrade-offs between noise-linearity and selectivity-linearity!

( )223

23

333321

2)(42

)(22

155.1

VCVCVC

VC KKCCGKjL

K

CCjGLj

LQGV

Voolosso

Voolosso

omdB

−++−−

+++×≅

ωω

ωω

ω

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The effective bias of the transistors should be maximized!Increasing Rdeg improves the linearity with a penalty in power consumption for the same input Gm. The same applies to adding Rdeg to the cross-coupled pair

linearity-power trade-off

⎟⎟⎠

⎞⎜⎜⎝

−++

+×≅

)(12

)1(32.2

111

11222

3deg1

21

1

1

1TGS

mG

mmdB

VVGK

K

RGGV

mG

m θ

θ

Nonlinearity Contribution of the Input Gm stage

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Simulated DR vs. Q of the Resonator Inductor

(Vdd=1.3V, Qfilter=40, fo=2.29GHz)

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1

)1(4 odB Q

BQFkTPDR ⋅+

=

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Dynamic Range Simulations

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Integrated Circuit Measurements

TSMC 0.35μm CMOS technology

The second poly was not used. Compatibility with a standard Digital CMOS

The filter operates with a supply voltage of 1.3V, and 4mA for a Q= 40 at 2.19GHz

Chip area+buffers~ 0.1mm2.

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Measured Q-Tuning

Q~170

Q~20

More than 3 octaves at fo=2.16GHz

5dB/div

30M

Hz

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Measured Frequency Tuning

1.93GHz 2.19GHz

13% around 2.1GHz with

Q~100

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Measured Peak Gain Tuning

Around 2 octaves withfo=2.12GHzand Q=40

Providing gain at the ωο of an image-reject filter is useful in a receiver front-end after the LNA, to relax the NF spec of the mixer.

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Overlaid Measurements of 10 different ICs

(a) with the same bias settings

(b) programmed for the same fo, gain and Q=40

Q : 20-80

fo : 2.14-2.18GHz

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Two-tone IM3 Measurement

Pin= -38dBmfin1=2.185GHzfin2=2.195GHz

*Vdd=1.3V, fo=2.19GHz, Q=40

Pin,1dB= -30dBmIIP3=-17.5dBm

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1 dB Compression Comparison

simulation

measurement

*Vdd=1.5V, fo=2.17GHz

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A Comparison with State-of-the-art

Reference Tech. fo Bandwidth Vdd PD/Pole Area/Pole SFDR

[1] Bipolar 1.8GHz 51.4MHz 2.8V 12.2mW 0.2mm2 30dB

[3] Bipolar 1GHz 25MHz 5V 34mW 0.3 mm2 36dB

[4] BiCMOS 750MHz 37.5MHz 5V 40mW 0.3 mm2 25dB

[5] BiCMOS 1.9GHz 150MHz 2.7V 12.15mW 1.79 mm2 49dB

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A Comparison with State-of-the-art (contd.)

Reference Tech. fo Bandwidth Vdd PD/Pole Area/Pole SFDR

[2] CMOS 850MHz 18MHz 2.7V 52mW 0.5mm2 55dB

[6] CMOS 850MHz 28.3MHz 2V 22.9mW 0.32mm2 28dB

[7] CMOS 2.14GHz 60MHz 2.5V 2.9mW 0.59mm2 55dB

Thiswork

CMOS 2.19GHz 53.8MHz 1.3V 2.6mW 0.05mm2 31dB

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Remarks• Low voltage, low power, compact fully-integrated

programmable bandpass filter in mainstream CMOS at frequencies higher than 2GHz.

Comparison shows that the proposed RF filter uses the lowest power supply voltage, lowest power consumption per pole and occupies at least four times less silicon area per pole

Programmability in the peak gain

Noise and Nonlinearity analyses of the structure provide simplified approximate expressions to clarify design trade-offs

Reference:• Fikret Dulger, E. Sanchez-Sinencio, J. Silva-Martinez, "A 1.3-V 5-mW fully integrated tunable bandpass filter at 2.1 GHz in 0.35 um CMOS,"

IEEE Journal of Solid-State Circuits, Volume :38 Issue:6, June 2003, Page(s): 918- 928• F. Dulger and E. Sanchez-Sinencio, "Integrated RF Building Blocks for Wireless Communication"

book, details will follow later.