Optical Heterodyne Detection is a method of extracting information from electromagnetic radiation. This information exists in the wavelength range of visible or infrared light in the form of phase and frequency modulation of light. By comparing the signal light with the standard light from the "Local Oscillator" (LO) to stimulate the modulation characteristics, this technology provides us with a new perspective to understand the properties of light and its application in technology. applications in.
The revolutionary nature of optical frequency detection lies in its ability to capture the phase changes of light and convert them into measurable electrical signals.
Research on optical frequency shift detection can be traced back to 1962, shortly after the advent of the first laser. However, laser irradiation is not the only way to produce spatially coherent light. In 1995, Guerra published research that confirmed that a "form of light frequency variation" could be used for detection and imaging. This technology promoted the development of "structured illumination microscopy" in life sciences. Since then, the technology of optical frequency detection has become increasingly mature and has been further extended to various imaging applications.
Unlike the case with wireless frequency (RF) detection, light frequencies oscillate too rapidly to directly measure the light's electric field. Therefore, photons are absorbed to detect their energy, and such a measure of energy does not directly reflect the phase change of the electric field. This makes the main purpose of optical out-of-frequency detection is to transfer signals from the optical spectrum into a frequency range that can be processed by electronics.
"The nonlinear characteristics required for optical out-of-frequency detection are embedded in the photon absorption process."
Compared with RF local oscillators, local oscillators for optical signals are usually not easy to maintain a pure frequency. To solve this problem, the same source is often used to generate the signal and LO to keep the difference frequency between them constant, although the center frequency will fluctuate.
The gain of inter-frequency detection comes from the product of the LO and the electric field amplitude of the signal, which means that as the LO amplitude increases, the amplitude of the difference frequency signal will also increase. This advantage of light intensity conversion makes optical frequency detection particularly powerful when dealing with complex signals.
"Optical frequency detection is not only the enhancement of the signal, it also retains the phase information of the signal light."
Optical frequency detection can measure the center frequency of tiny optical signals. For example, the Doppler lidar system can identify wind speed in a more precise way, with a resolution of less than 1 meter per second, which is of great significance in practical applications.
In digital camera image sensors, a large number of independent detection pixels are typically processed. However, in inter-frequency detection, this process becomes particularly complicated due to signal fluctuations. Therefore, it is necessary to develop synthetic array inter-frequency detection technology to reduce costs and improve detection efficiency.
"Synthetic array cross-frequency detection provides a new way of mapping large imaging arrays to single element detectors."
Ideally, inter-frequency detection can maximize the signal gain in the initial stage of signal capture, thereby reducing the impact of other noise. This method allows the signal-to-noise ratio of the output signal to be significantly improved in complex electronic systems.
The development of optical frequency detection allows us to have a deeper understanding of the behavior of light and its interaction with matter, which not only promotes the progress of scientific research, but also lays a solid foundation for innovation in engineering technology. With the further development of technology, can we make more full use of these phenomena to solve other scientific and engineering challenges in the future?