High Dynamic Range Sensing Using Multi-Channel Modulo Samplers
ID:76 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:00 Hits:461 Oral Presentation

Start Time:2020-06-09 14:20(Asia/Shanghai)

Duration:20min

Session:R Regular Session » R04Computational and Optimization Techniques for Multi-Channel Processing

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Abstract
We consider the problem of recovering a band-limited signal from multi-channel modulo folded measurements. The study is motivated by the recent advances of self-reset analog-to-digital converters (SR-ADCs) for high dynamic range digitization. Most of existing works focus on single-channel SR-ADC, which requires high sampling rate and the reconstruction could be very unstable at low signal to noise ratio. To our best knowledge, this is the first work that studies multi-channel SR-ADC systems. In the noiseless case, we show that perfect reconstruction can be achieved using only 2 channels, each of which samples at Nyquist rate. For noisy measurements, we develop a lattice-based optimization for stable reconstruction. Simulation results are presented to demonstrate the effectiveness of the proposed algorithms.
Keywords
Analog-to-digital conversion (ADC); Bandlimited signals; Modulo samplers; Chinese reminder theorem; Lattice theory
Speaker
Lu Gan
Brunel University, United Kingdom (Great Britain)

Submission Author
Lu Gan Brunel University, United Kingdom (Great Britain)
Hongqing Liu Chongqing University of Posts and Telecommunications, China
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    Jun 08

    2020

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    Jun 11

    2020

  • Jan 12 2020

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  • Apr 15 2020

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  • Dec 31 2020

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