Single-pixel two-dimensional imaging system and method using light frequency domain random frequency mixing

Abstract

The invention discloses a single-pixel two-dimensional imaging system and method using light frequency domain random frequency mixing. The single-pixel two-dimensional imaging system and method are characterized in that a mode-locked laser is utilized to provide a pulse light source which is amplified through an erbium doped fiber amplifier; the amplified pulse light source enters a collimating mirror through a circulator, and then irradiates to images requiring to be collected through a reflector, a semi-cylindrical lens, a virtual image phase array, a reflective diffraction grating and a cylindrical mirror and is reflected; optical signals return to the circulator along the original path; mixing of the optical signals and the pseudo random sequence frequency is implemented in a programmable optical processor; photoelectric conversion is performed through a photoelectric detector, and then sampling is performed through a digital sampling oscilloscope; and the oscilloscope samples each pulse peak value, and utilizes a compressed sensing algorithm to reconstruct the image signal. The single-pixel two-dimensional imaging system using light frequency domain random frequency mixing utilizes the programmable optical processor to implement mixing of signals and random sequence in a frequency domain to avoid the complicated process that a Mach-Zehnder modulator is used to modulate the random sequence after broadening of the fiber, and then the random sequence is compressed through the fiber for mixing in the time domain, thus having the advantages of being simple and compact in structure, and being easy to integrate.

Description

technical field [0001] The invention relates to the fields of optical communication and image acquisition, in particular to a single-pixel two-dimensional imaging system and method using random frequency mixing in the optical frequency domain. Background technique [0002] The analogization of the real world and the digitization of signal processing tools determine that signal sampling is the only way to obtain digital information from analog sources. When processing signals and images, digitization of analog signals is the most important issue we face as long as computers are used as processing tools. At present, if the traditional method based on the Nyquist criterion is used to acquire signals, it is necessary to sample at high speed to obtain a complete sample set, which will bring high cost problems on the one hand, such as high-speed A / D converters and radar imaging systems, Based on existing technical methods, increasing the sampling rate will generate very high cost...

AI Technical Summary

Problems solved by technology

At present, if the traditional method based on the Nyquist criterion is used to acquire signals, it is necessary to sample at high speed to obtain a complete sample set, which will bring high cost problems on the one hand, such as high-speed A / D converters and radar imaging systems, Based on existing technical methods, increasing the sampling rate will generate very high costs; on the other hand, it will bring huge pressure to data storage and transmission, such as in digital cameras and video cameras, the high sampling rate determined by the Nyquist criterion leads to sampling Too many samples are not conducive to later storage and processing

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