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Graduate Research
- Low power RF circuits and system design. (ECE, Georgia Tech)
VIZOR: Virtually Zero Margin Adaptive RF for Ultra low Power Wireless Communication Description: Traditional RF front ends are designed to meet worst case wireless channel conditions and thereby consume a lot of battery power. The VIZOR (for Virtually Zero-Margin RF) project is developing tunable RF front-ends and DSP baseband signal processing algorithms that adapt dynamically to channel conditions, saving power when wireless channel conditons are good, thereby extending battery life significantly and increasing device reliability due to reduced electrical stress.
Award: This work has been selected as the best research work in GSRC (Gigascale System Research Center) September Annual Symposium. The MARCO-GSRC has 41 faculty from 17 leading institutions in the US and the award is made annually based on research/poster/demo preentations at the GSRC Annual Review. GSRC is MARCO , DARPA and Industry. We are also part of FCRP (Focus Center Research Program ) which is part of SRC ( Semiconductor research Corporation). The following shows the GSRC overview and the poster which was judged as the best for 2007.
- System and Circuit co-design
to compensate for effect of process variation in nanometer RF
Circuits. (ECE,
Georgia Tech)
Details: Coming Soon
Projects in Graduate coursework
1. WiMAX RF Power Amplifier (2.3 - 2.7 GHz) Design
--- as a part of ECE 6361: Microwave Design Lab
In modern Wireless communication RF Power Amplifiers are an inherent part of RF transmitters. A power amplifier compatible with emerging WiMAX standard has been designed using Sirenza Microdevices SHF 0289 HFET device and discrete components. The PA had an operating frequency range from 2.3 to 2.7 GHz, gain of 10 dB, P1dB > 23dBm, efficiency of 30 %. The schematic (without biasing) and the fabricated design are shown below.
UnderGrad Research
- Ultra Wide band Amplifier Design (UWB) ( 3-10 GHz). (IIT KGP)
- Wireless Integrated system design for transmitting information acquired by MEMS based gas sensors in mines and industries. (IIT KGP)
- Automatic species identification from its genomic data using PCA and SOFM. (Jadavpur University)




