Sponsor: San Diego Section Chap,AP03/ED15/MTT17/SSC37
Speaker: Dr. Sudhakar Pamarti, Professor of Electrical and Computer Engineering at the University of California, Los Angeles

Meeting Date: December18, 2020
Time: 8:00 AM
Cost:none
Reservations: IEEE
Summary:
Sharp, programmable, linear, integrated filters are enabling components for software defined and cognitive radio applications. However, they are difficult to realize: SAW and MEMS based filters are sharp and linear but not very programmable; active filters can be sharp and programmable but are not very linear; sampled charge domain filtering is sharp and programmable but the burden of the linearity is on the front-end voltage-current converter. My group has developed a unique alternative that purposefully employs periodically time-varying circuit components to realize very sharp, linear, and programmable filters for use in RF front ends. This talk will describe how even simple 1st order RC filters can be converted into very sharp filters just by making one of the components, a resistor, vary periodically with time. The talk will show how our technique goes against conventional wisdom by exploiting sampling aliases rather than struggling to suppress them prior to sampling. It will describe how we applied the technique to realize RF front-ends and spectrum scanners with some of the best reported blocker suppression, linearity, and power consumption.