Acousto-optic real-time signal analyzer based on asynchronous detection

Abstract

The invention discloses an acousto-optic real-time signal analyzer based on asynchronous detection. The acousto-optic real-time signal analyzer comprises a laser, a light beam shaping device, an acousto-optic deflector, a power adapter, a Fourier lens, an AER (address-event representation) asynchronous linear array image sensor and a data processing module. The output of the AER asynchronous linear array image sensor is connected with the data processing module, various diffraction light beams outputted by the acousto-optic deflector are completed in spatial Fourier transformation by the Fourier lens and enter pixels of the AER asynchronous linear array image sensor; the data processing module operates and processes the spatial positions of the pixels outputted by the AER asynchronous linear array image sensor and the optical current sensed by the pixels and converts them into corresponding time frequency domain parameters of tested signals for storing and displaying. The acousto-optic real-time signal analyzer has the advantages of large band width, high flexibility and dynamic performance, high time accuracy and capability of monitoring transient signals, the problem of data redundancy is thoroughly solved, signals can be processed in real time, and the acousto-optic real-time signal analyzer is high in applicability to various types of signals.

Description

technical field [0001] The invention relates to signal time-frequency analysis technology, in particular to an acousto-optic real-time signal analyzer based on asynchronous detection, which belongs to the field of optoelectronic technology. Background technique [0002] With the advancement of science and technology, the signals that people need to detect develop from stable, regular, and predictable to unpredictable, transient, and increasingly complex. In modern signal processing methods, time and frequency are the two most important physical quantities to describe signals, and there is a close relationship between the time domain and frequency domain of signals. The time-frequency analysis method, which maps a one-dimensional time signal to a two-dimensional time-frequency plane, describes and observes the signal comprehensively and in detail in the time-frequency domain, has recently been more and more widely used. The traditional swept frequency (superheterodyne) spe...

AI Technical Summary

Problems solved by technology

At present, in the field of digital technology, algorithm theories such as short-time Fourier transform, Winger-Ville distribution, and wavelet transform are used to analyze transient signals, but they all have a common shortcoming: lack of adaptability, and it is easy to deal with irregular signals. cause aliasing

However, this kind of acousto-optic spectrum analyzer uses a charge-coupled device (CCD) with a very slow reading speed in the photoelectric conversion link, which outputs signals accumulated over a period of time pixel by pixel, and can only detect the presence of What frequency does not specify the specific moment when these frequencies exist, that is, the instantaneous frequency cannot be expressed, and there is ambiguity in time resolution

[0004] At present, the increasingly complex electromagnetic signal environment urgently needs a signal processing system with instantaneous large bandwidth and high dynamics, which can realize real time-frequency analysis. At the same time, this means that the use of digital analysis technology will generate a huge amount of output data. Generate higher transmission power consumption, increase the requirements for the number of channels, memory and computing processing system, and these requirements are basically infeasible for the current device level

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