ECE Seminar or Event

A Fresh Look at Array Receivers: Space-time Sigma-Delta Multiport Circuits

Soumyajit Mandal

Assistant Professor
Case Western Reserve University
Monday, May 22, 2017
4:30pm - 5:30pm
1005 EECS

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About the Event

A wave-physics-based signal processing approach for amplifying and digitizing the signals from antenna arrays is proposed. Current N-element arrays simply replicate independent receivers at each array location. This approach ignores physical constraints on the electromagnetic waves: Special Relativity enforces a region of causality (i.e., the “light cone”) outside which propagating waves do not exist. We exploit this constraint by adopting a novel spatially-oversampled array approach that can electronically “shape” both the noise and non-linear distortion of amplifiers and data converters such that they do not overlap with the light cone of the input signals, i.e., their region of support (ROS). In particular, we spectrally-shape noise and distortion from low-noise amplifiers (LNAs) and analog-to-digital converters (ADCs) to lie in a multi-dimensional spacetime “dead zone” where no electromagnetic phenomena exist in nature, thus improving the performance of both radar and wireless communications systems.

The proposed approach enables us to optimize the fundamental trade-off between i) higher carrier frequencies and bandwidths, which are desirable for maximizing performance metrics such as range resolution (for radar) and channel capacity (for communications); and ii) the figure of merit (FOM) of critical components within wireless receivers, which include noise figure (NF), power consumption, linearity, and energy efficiency. Specifically, we can i) reduce both thermal noise and non-linear distortion in low-noise amplifiers (LNAs), thus enabling the detection of faint signal sources in the presence of strong interference; ii) directionally reject (via linear beamforming) distortion arising from jamming of the front-ends of phased-array receivers; and iii) increase effective ADC resolution, thus overcoming the observed degradation in ADC FOM with sampling rate. We believe that this combination of higher sensitivity, linearity, and resolution will enable transformative improvements in digital phased-array performance.


Institute of Technology, Kharagpur, India in 2002 with top honors. He received his M.S. and Ph.D. degrees in Electrical Engineering from MIT in 2004 and 2009. His doctoral thesis on “Collective Analog Bioelectronic Computation,” was awarded the MIT Microsystems Technology Laboratories (MTL) Doctoral Dissertation Award in recognition of outstanding research of interest to a broad audience. From 2010-2014 he was a Research Scientist at the Schlumberger-Doll Research center in Cambridge, MA. Since 2014 he has been an Assistant Professor at Case Western Reserve University (CWRU) in Cleveland, where he leads the Integrated Circuits and Sensor Physics (ICSP) lab. His research interests include integrated circuits and systems, scientific instrumentation, magnetic resonance (MR) sensors, and biomedical imaging. He has worked on bio-inspired (neuromorphic and cytomorphic) integrated circuits, biomedical circuits and systems, integrated structural health monitoring systems, MEMS/NEMS interface circuits, RF energy harvesting, low-power RF systems, low-field and zero-field magnetic resonance, and other topics. He was recently awarded the Mentor and T. Keith Glennan Fellowships by the CWRU University Center for Innovation in Teaching and Education (UCITE), and Nord and ACES grants by CWRU for innovations in teaching and course development. He has published over 60 papers in international journals and conferences, and has been awarded 9 patents.

Additional Information

Sponsor(s): IEEE, APS, MTT-S, IEEE Photonics, EDS, RADLAB, ECE

Open to: Public