학술논문

Adaptive Signal Identification using LMS Filter with an Analog Memory Cell
Document Type
Conference
Source
2007 4th International Conference on Electrical and Electronics Engineering Electrical and Electronics Engineering, 2007. ICEEE 2007. 4th International Conference on. :365-368 Sep, 2007
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Power, Energy and Industry Applications
Robotics and Control Systems
Signal processing
Least squares approximation
Adaptive filters
Analog memory
Nonvolatile memory
Pulse modulation
Filtering
CMOS process
Transfer functions
Tunneling
CMOS
floating gate
LMS
Language
Abstract
This paper presents the performance of optimal filtering; LMS with a nonvolatile analog memory cell fabricated through 1.2um CMOS process, for the adaptive identification signal problem, where transfer functions are unknown and changing. The memory stores the weight in the filter as charge on the floating gate of a transistor pMOS. The update is linear, using a pulse density modulation scheme by means of tunneling and injection mechanisms. The LMS algorithm is implemented digitally off chip, and it does not require the signal to be piecewise stationary, and requires no manual operation other than selection of the step-size.