Point Source Localization with a Planar Optical Phased Array Compressive Sensor
Julian A. Brown (1, 2), Steven J. Spector (1), Michael Moebius (1),, Lucas Benney (1), Daniel Vresilovic (1), Brian Dolle (1), Alexandra Z., Greenbaum (1), Alex Huang (1, 4), Christopher V. Poulton (5), Michael R., Watts (5), Robin Dawson (1), Benjamin F. Lane (1, 3)

TL;DR
This paper introduces a novel, fully passive silicon-photonic optical phased array sensor that uses compressive sensing to achieve high-precision source localization with significantly fewer measurements, enabling compact and cost-effective imaging solutions.
Contribution
The authors demonstrate the first application of compressive imaging in a photonic-integrated device using an 8x8 grating array and a single MMI, achieving high recovery rates with fewer outputs than traditional methods.
Findings
Achieved over 99.9% recovery rate with 10 outputs for a single source.
Localized two sources with better than 10 arcsecond precision.
Reduced measurement requirements to 6 outputs for 90% recovery rate.
Abstract
Compressive sensing has been used to demonstrate scene reconstruction and source localization in a wide variety of devices. To date, optical compressive sensors have not been able to achieve significant volume reduction relative to conventional optics of equivalent angular resolution. Here, we adapt silicon-photonic optical phased array technology to demonstrate, to our knowledge, the first application of compressive imaging in a photonic-integrated device. Our novel sensor consists of an grid of grating couplers with a spacing of m. Path-matched waveguides route to a single multimode interferometer (MMI), which mixes and randomizes the signals into 64 outputs to be used for compressed sensing. Our device is fully passive, having no need for phase shifters, as measurement matrix calibration makes the measurements robust to phase errors. For testing, we use an…
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