A 17.8-MS/s Compressed Sensing Radar Accelerator Using a Spiking Neural Network | IEEE Journals & Magazine | IEEE Xplore

A 17.8-MS/s Compressed Sensing Radar Accelerator Using a Spiking Neural Network


Abstract:

A prototype compressed sensing radar processor boosts the accuracy of target range and velocity estimations by over 6× compared with conventional processing techniques. T...Show More

Abstract:

A prototype compressed sensing radar processor boosts the accuracy of target range and velocity estimations by over 6× compared with conventional processing techniques. The prototype numerically solves basis pursuit denoising with a biologically plausible spiking neural network. A unique form of weight compression allows on-chip storage of all weights for the large fully connected network. Capable of producing over 200000 range-velocity scene reconstructions per second, the prototype improves throughput by 8× and efficiency by 18× over the state of the art.
Published in: IEEE Journal of Solid-State Circuits ( Volume: 56, Issue: 3, March 2021)
Page(s): 834 - 843
Date of Publication: 02 October 2020

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