Broadband high-resolution time-frequency analysis and signal sorting method based on photonic processor

By using a broadband high-resolution time-frequency analysis method based on photonic processors, the problems of high difficulty in ultra-wideband signal processing and low accuracy in sorting and identifying time-frequency overlapping signals in traditional technologies are solved. This method achieves high-resolution time-frequency analysis and signal sorting with low computational complexity and is suitable for signal processing in complex electromagnetic environments.

CN122449500APending Publication Date: 2026-07-24SHANGHAI JIAOTONG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI JIAOTONG UNIV
Filing Date
2026-05-28
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing technologies struggle to achieve high-precision time-frequency analysis and signal sorting for ultra-wideband, time-frequency overlapping, and transient signals in complex electromagnetic environments. Traditional electrical solutions are limited by ADC sampling rate and computing power bottlenecks, while optical solutions are limited by extremely low frequency resolution.

Method used

A broadband high-resolution time-frequency analysis method based on photonic processors is adopted. The signal is degraded and decomposed by optical pulses and cascaded dual-output modulators. The delay decimation operation is performed on the photonic processor and combined with parallel short-time Fourier transform to reduce computational complexity and improve frequency resolution.

Benefits of technology

While maintaining ultra-large instantaneous bandwidth, it significantly reduces computational complexity, achieves high-resolution time-frequency analysis and signal sorting, improves the accuracy of signal sorting and parameter identification, and is suitable for transient signal processing in complex electromagnetic environments.

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Abstract

In order to solve the problems of wideband signal processing complexity, transient signal difficult to capture and low precision of time-frequency overlapping signal sorting in electronic reconnaissance, a wideband high-resolution time-frequency analysis and signal sorting method based on photonic processor is provided. The method uses optical pulse and cascade modulator to reduce the speed of time sequence decomposition, and completes the delay extraction operation on the optical processor. By matching the bandwidth of the photoelectric detector and the subchannel bandwidth, the filtering operation is realized on the optical processor. In the digital domain, only fractional delay and inverse discrete Fourier transform need to be completed to realize time-frequency decomposition and obtain multiple narrowband reduced speed signals. Parallel short-time Fourier transform is performed on each signal, and due to the reduction of single signal bandwidth, higher time-frequency resolution is obtained under the same processing point number, and finer time-frequency features help to improve the signal sorting and parameter identification precision. The application has low computational complexity and high analysis precision, and is suitable for dense transient signal processing in complex electromagnetic environment.
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