Adaptive signal processing in mixed-signal VLSI with anti-Hebbian learning

M. Figueroa, E. Matamala, G. Carvajal, S. Bridges
2006 IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures (ISVLSI'06)  
We describe analog and mixed-signal primitives for implementing adaptive signal-processing algorithms in VLSI based on anti-Hebbian learning. Both on-chip calibration techniques and the adaptive nature of the algorithms allow us to compensate for the effects of device mismatch. We use our primitives to implement a linear filter trained with the Least-Mean Squares (LMS) algorithm and an adaptive decorrelation network that improves the convergence of LMS. When applied to an adaptive Code-Division
more » ... Multiple-Access (CDMA) despreading application, our system, without the need for power control, achieves more than 100x improvement in the bit-error ratio in the presence of high interference between users. Our 64-tap linear filter uses 0.25mm 2 of die area and dissipates 200µW in a 0.35µm CMOS process.
doi:10.1109/isvlsi.2006.16 dblp:conf/isvlsi/FigueroaMCB06 fatcat:32ykonyxmvfgjm5h277my7jhoi