Research On Planar Array Single Photon Detector Based On InGaAs Material And Image Reconstruction With Few Frames

This paper studies the imaging principle of single photon detection,material properties of single photon detector and depth imaging algorithm to improve photon utilization.In order to improve the performance of the single photon detector of InGaAs avalanche photodiode,this paper studies the performance of the single photon detector of InGaAs material based on the physical parameters and principles of InGaAs material such as lattice constant,band gap width and band structure,and analyzes the performance variation rule of the detector working under different temperature bias conditions.Based on the refrigeration working mode of the detector,the thermal stress simulation test of In P was carried out to analyze how the In P energy band was affected by the thermal stress.In order to improve the photon utilization rate of single photon imaging,the principle of single photon detection and photon counting is studied,and the mechanism of signal and noise generation is analyzed.Based on the reflectivity estimation model,an imaging algorithm for the utilization of spotters is designed.In order to test the effect of the algorithm,the algorithm was used to conduct imaging tests on the simulated data set.Meanwhile,in order to quantify the test results,two traditional imaging methods,ML and SHIN,were also used to participate in the test.The test results show that the algorithm designed by us has strong anti-noise interference ability and can more efficiently use echo photons for imaging.A single photon imaging system based on InGaAs SPAD was built,and the laboratory experiment was carried out.Through processing the acquired original image data,the intensity image of the scene was obtained,and the depth image was reconstructed successfully,which proved that the system could work normally.Data acquisition and imaging of 1.3KM and 3.0KM distance images were carried out in the external field respectively,and ML and SHIN methods were used to participate in image reconstruction.The results proved that the method we designed can achieve high-quality imaging with fewer frames in the real scene.