virginia polytechnic institute and state university bradley department of electrical and computer...
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Sampling Mixer for Software Defined Radio Applications using 0.18µm RF CMOS Technology
Mentors: Dr. Kwang-Jin Koh and Hedieh Elyasi
Virginia Polytechnic Institute and State UniversityBradley Department of Electrical and Computer Engineering
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Overview
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• Software Defined Radio• Mixer Fundamentals• Project Description• Simulation Results– Graphical– Quantitative
• Conclusions
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Concept of Radio• What comes to mind when you here the word “Radio”?
Wireless Communications
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Software-Defined Radio (SDR) • What is SDR?– Ability to control RF signals via software as
opposed to custom hardware
• Why SDR?– Flexibility– Adaptability– Low Cost– Lower Power Consumption
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Software-Defined Radio (SDR)• How does SDR work?– Ideal Case : Software Radio
• Technology limitations of A/D prevent above implementation– Tx/Rx frequencies up to Giga Hz range
• Input waveform changing up to few billion times per second
• Signal too fast to sufficiently convert to digital
Rx
A/DAnalog-to-Digital Conversion
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Software-Defined Radio (SDR)• How do we combat A/D limitations?– Provide RF front end between Antenna and A/D
• Important Functional Unit: Mixer– In Radio Receiver: mixer down converts input
signal to lower frequency (slower signal) sufficient for A/D conversion
LNAMixer
Filter A/D
Rx
LO
RF IF
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Mixer: Frequency TranslationMixer
LO
RF IF
600 M Hz 125 M Hz
475 M Hz
Frequency Domain
IF LO RF
𝑃 ( 𝑓 )𝑜𝑟 𝑉 ( 𝑓 )
𝑓
Time Domain
𝑅𝐹− 𝐿𝑂=𝐼𝐹600−475=125
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Project Description
• Design, simulate, and analyze a passive direct sampling mixer using 0.18µm RF CMOS technology
• Goal of Research:– Increase commonality of the mixer over various
wireless communication standards while maintaining high degree of re-configurability
ReconfigurableRF CMOS
ADC
IMT-2000
GSM
Bluetooth
GPS
ISDB
FilterLNA
Mixer
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What does 0.18µm RF CMOS mean?
Diameter of Penny = 19,050 µm
Substrate Level Diagram Schematic Symbol
Metal-Oxide Semi-Conductor Field Effect Transistor (MOSFET)
Channel Length = 0.18µm!!!
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DSM Circuit Diagram
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Important Measurable Metrics• Conversion Gain
– The change in output power with respect to the input power (RF IF)
• Noise Figure – How many random signals does our system generate as a result of
the circuit elements
• 1 dB Compression Point– At what input power level (RF Signal) does the mixer functionality
become undesirable (i.e. Output non-linear)
• Third-order Intermodulation Intercept Point (IIP3)– How well the system receives the desired information signal with
other potential RF signals in close frequency proximity
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• Time Domain
• Frequency Domain
RF=600 MHz IF=125 MHz
LO=475 MHz
MixerSimulation Results
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Direct Sampling Mixer Simulations Results
Metric Simulation DesiredConversion Gain 20.5 dB 15 dB
1-dB Compression Point -16.67 dBm -12 dBm
IIP3 -5.81 dBm -2 dBmNoise Figure 15 dB 10 dB
Power Consumption 3.66 mW 3 mW
Simulation Results
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Conclusions
• A Passive Direct Sampling Mixer using 0.18µm RF CMOS technology was designed, simulated and analyzed
• Acceptable Metrics:– Conversion Gain– IIP3– Power Consumption
• Areas to improve:– 1dB Compression point– Noise Figure
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Acknowledgements
This research was sponsored by the National Science Foundation (NSF). The authors would like to thank:
• Dr. Kwang-Jin Koh for the opportunity to be a part of his research efforts;
• Dr. Carl Dietrich, Dr. Leslie Pendleton, and Dr. Roofia Galeshi for the oversight and mentoring services provided throughout the duration of the program;
• A special thanks to PhD student Hedieh Elyasi for her patience, as well as her abundant time and effort spent aiding in the learning/research process.
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References
• H. Shiozaki, T. Nasu and K. Araki, “Design and Measurement of Harmonic Rejection Direct Sampling Mixer,” Proc. APMC, pp. 293-296, Dec. 2009
• A. Mirzaei, H. Darabi, J. C. Leete, X. Chen, K. Juan, and A. Yazdi,“Analysis and optimization of current-driven passive mixers in narrowbanddirect-conversion receivers,” IEEE J. Solid-State Circuits, vol. 44, no. 10,pp. 2678–2688, Oct. 2009.
• R. Bagheri, A. Mirzaei, M. E. Heidari, S. Chehrazi, M. Lee, M. Mikhemar, W. K. Tang, and A. A. Abidi, “Software-defined radio receiver: Dream to reality,” IEEE Commun. Mag., vol. 44, no. 8, pp.111–118, Aug. 2006.
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1 dB Compression Graph
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𝑰𝑰𝑷 𝟑