FPGA-based distributed acoustic sensing signal processing method, system, medium and product

CN122018849BActive Publication Date: 2026-06-09BEIJING ZHONGTUO XINYUAN TECH CO LTD

Patent Information

Authority / Receiving Office: CN · China
Patent Type: Patents(China)
Current Assignee / Owner: BEIJING ZHONGTUO XINYUAN TECH CO LTD
Filing Date: 2026-04-13
Publication Date: 2026-06-09

AI Technical Summary

Technical Problem

Existing distributed acoustic sensing signal processing methods suffer from problems such as excessive processing unit burden, waste of storage resources, and difficulty in guaranteeing real-time performance and accuracy due to centralized processing architecture. In particular, they cannot meet the requirements of efficient and accurate signal processing when processing multi-band signals.

Method used

A distributed acoustic sensing signal processing method based on FPGA is adopted. By storing complex coefficients in partitions and using the same set of computing units in a time-division multiplexing manner across multiple frequency bands, combined with strict timing scheduling of pulse repetition cycles and a hierarchical parallel accumulation structure, it is ensured that each frequency band completes filtering within a specified time window, and the timing alignment of signal output is achieved through a delay compensation mechanism.

Benefits of technology

It significantly saves digital signal processing and storage resources, supports the implementation of multi-band complex coefficient finite-length unit impulse response filtering on a single FPGA, improves system robustness and adaptability, ensures phase consistency and frame integrity of the output signal, and adapts to the real-time processing requirements of complex monitoring scenarios.

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Abstract

The application discloses an FPGA-based distributed acoustic sensing signal processing method and system, a medium and a product, and relates to the field of signal processing.The method comprises the following steps: generating corresponding data valid signals and frame end signals based on the pulse repetition period of a distributed acoustic sensing signal; configuring preset order complex coefficients of multiple frequency bands in a heterogeneous memory on an FPGA chip; scheduling finite-length unit impulse response filtering operations of the multiple frequency bands to the same group of complex multiplication operation units; performing complex multiplication operation on an input signal to obtain multiple product accumulation results, and performing multi-stage hierarchical parallel accumulation on the multiple product accumulation results; performing delay processing on the data valid signals and the frame end signals through a delay compensation mechanism, generating a control signal aligned with the output timing of a final filtering result, and controlling the final output based on the pulse repetition period and the control signal. The above technical solution can realize efficient filtering processing of multi-band signals.

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