A Bio-Inspired Active Radio-Frequency

Fast wideband spectrum analysis is expensive in power and hardware resources. We show that the spectrum-anal- ysis architecture used by the biological cochlea is extremely efficient: analysis time, power and hardware usage all scale linearly with , the number of output frequency bins, versus for the Fast Fourier Transform. We also demonstrate two on-chip radio frequency (RF) spectrum analyzers inspired by the cochlea. They use exponentially-tapered transmission lines or filter cascades to model cochlear operation: Inductors map to fluid mass, capacitors to membrane stiffness and active elements (transistors) to active outer hair cell feedback mechanisms. Our RF cochlea chips, implemented in a 0.13 m CMOS process, are 3 mm 1.5 mm in size, have 50 exponentially-spaced output chan- nels, have 70 dB of dynamic range, consume 300 mW of power and analyze the radio spectrum from 600 MHz to 8 GHz. Our work, which delivers insight into the efficiency of analog computa- tion in the ear, may be useful in the front ends of ultra-wideband radio systems for fast, power-efficient spectral decomposition and analysis. Our novel rational cochlear transfer functions with zeros also enable improved audio silicon cochlea designs with sharper rolloff slopes and lower group delay than prior all-pole versions.

[1]  Soumyajit Mandal,et al.  Circuits for an RF cochlea , 2006, 2006 IEEE International Symposium on Circuits and Systems.

[2]  Ehsan Afshari,et al.  Extremely wideband signal shaping using one- and two-dimensional nonuniform nonlinear transmission lines , 2006 .

[3]  Peter Dallos,et al.  Nature of the motor element in electrokinetic shape changes of cochlear outer hair cells , 1991, Nature.

[4]  Ehsan Afshari,et al.  Ultrafast analog Fourier transform using 2-D LC lattice , 2008, IEEE Transactions on Circuits and Systems I: Regular Papers.

[5]  Christopher A Shera,et al.  Mammalian spontaneous otoacoustic emissions are amplitude-stabilized cochlear standing waves. , 2003, The Journal of the Acoustical Society of America.

[6]  Richard F. Lyon,et al.  An analog electronic cochlea , 1988, IEEE Trans. Acoust. Speech Signal Process..

[7]  Gabriel M. Rebeiz,et al.  A mammalian cochlea-based RF channelizing filter , 2005, IEEE MTT-S International Microwave Symposium Digest, 2005..

[8]  C. D. Geisler,et al.  From Sound to Synapse: Physiology of the Mammalian Ear , 1998 .

[9]  A. Gummer,et al.  Reciprocal electromechanical properties of rat prestin: The motor molecule from rat outer hair cells , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[10]  Craig C. Bader,et al.  Evoked mechanical responses of isolated cochlear outer hair cells. , 1985, Science.

[11]  G. Zweig,et al.  Finding the impedance of the organ of Corti. , 1991, The Journal of the Acoustical Society of America.

[12]  Thomas H. Lee,et al.  The Design of CMOS Radio-Frequency Integrated Circuits: RF CIRCUITS THROUGH THE AGES , 2003 .

[13]  Kuansan Wang,et al.  Auditory representations of acoustic signals , 1992, IEEE Trans. Inf. Theory.

[14]  Gabriel M. Rebeiz,et al.  A Cochlea-based Preselector for UWB Applications , 2007, 2007 IEEE Radio Frequency Integrated Circuits (RFIC) Symposium.

[15]  J. Allen,et al.  A parametric study of cochlear input impedance. , 1991, The Journal of the Acoustical Society of America.

[16]  Weimin Liu,et al.  Voiced-speech representation by an analog silicon model of the auditory periphery , 1992, IEEE Trans. Neural Networks.

[17]  Donald Lloyd Watts,et al.  Cochlear Mechanics: Analysis and Analog VLSI , 1993 .

[18]  E. Williams Radio-Frequency Spectrum Analyzers , 1946, Proceedings of the IRE.

[19]  Nan Sun,et al.  On the Self-Generation of Electrical Soliton Pulses , 2007, IEEE J. Solid State Circuits.

[20]  C. Shera,et al.  Intensity-invariance of fine time structure in basilar-membrane click responses: implications for cochlear mechanics. , 2001, The Journal of the Acoustical Society of America.

[21]  Richard F. Lyon,et al.  Improved implementation of the silicon cochlea , 1992 .

[22]  Gabriel M. Rebeiz,et al.  Cochlea-Based RF Channelizing Filters , 2008, IEEE Transactions on Circuits and Systems I: Regular Papers.

[23]  J. Pickles An Introduction to the Physiology of Hearing , 1982 .

[24]  Stephen P. Boyd,et al.  Simple accurate expressions for planar spiral inductances , 1999, IEEE J. Solid State Circuits.

[25]  Rahul Sarpeshkar,et al.  A Low-Power Wide-Dynamic-Range Analog VLSI Cochlea , 1998 .

[26]  Ali Hajimiri,et al.  Distributed integrated circuits: an alternative approach to high-frequency design , 2002, IEEE Commun. Mag..

[27]  Andreas G. Andreou,et al.  Electronic arts imitate life , 1991, Nature.

[28]  Rahul Sarpeshkar,et al.  Fast cochlear amplification with slow outer hair cells , 2006, Hearing Research.

[29]  Serhii M. Zhak Modeling and design of an active silicon cochlea , 2008 .

[30]  Rahul Sarpeshkar,et al.  A bio-inspired companding strategy for spectral enhancement , 2005, IEEE Transactions on Speech and Audio Processing.

[31]  G.E.R. Cowan,et al.  A VLSI analog computer/digital computer accelerator , 2006, IEEE Journal of Solid-State Circuits.

[32]  W Hemmert,et al.  Limiting dynamics of high-frequency electromechanical transduction of outer hair cells. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[33]  P Dallos,et al.  High-frequency motility of outer hair cells and the cochlear amplifier. , 1995, Science.

[34]  Q. Zhang,et al.  A current-mode implementation of a traveling wave amplifier model similar to the cochlea , 1999, ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349).