Design Of Acoustic Detection Underwater Beacon System And Embedded Software

In recent years,the competition among countries around the world in the intelligence of marine military equipment has become increasingly fierce.Traditional passive sonar has become increasingly difficult in the fields of environmental detection and anti-submarine reconnaissance,making real-time signal processing for distributed acoustic detection of submarine targets an important research direction in the field of underwater acoustic detection.In response to the passive detection and warning requirements of low-frequency deep-sea ship targets,this article adopts a software and hardware collaborative approach to develop an acoustic detection submarine platform based on the ZYNQ embedded system,which can conveniently implement underwater acoustic detection related algorithms.The hardware system for acoustic detection of submarine buoys designed and implemented in the paper mainly includes: 1.sensor signal receiving circuit;2.Low power automatic duty system;3.High performance embedded collection and processing system.The sensor adopts three-dimensional vector hydrophone+sound pressure sensor,and the signal receiving circuit can realize the signal conditioning functions of low noise,low power consumption and large dynamic range,effectively ensuring the performance requirements of low-frequency remote passive detection.The main control of the duty system adopts the STM32L4+series MCU with high main frequency and ultra-low power consumption,paired with a 24 bit low-power ADC to achieve four channel signal synchronous acquisition;Divide different power domains to achieve dynamic power consumption management.The signal processing system adopts the ZYNQ-7020 platform,which has rich on-chip logic resources,unique ARM architecture,and AXI high-speed interconnection interface,making it an embedded hardware platform suitable for porting digital signal processing algorithms.The embedded software design work in the paper mainly includes: 1.Design and implementation of low-power duty algorithm;2.Target direction estimation algorithm based on submarine buoy platform.The key point of software design is to use the vector hydrophone to realize the duty algorithm of low-frequency ship target detection under the condition of low power consumption,estimate the power spectrum of the collected signal in the low-power duty processor,and take the time-lapse power spectrum estimation result as the gray image for joint morphological processing to achieve the whitening of marine environmental noise,Perform long-term integration on the results to achieve signal-to-noise ratio compensation and set adaptive decision thresholds for frequency domain energy detection of suspected ship targets,achieving low-power automatic duty of the system.The high-performance underwater target azimuth estimation calculation algorithm is implemented in ZYNQ,using the ZYNQ series development tools(Vivado,System Generator)and MATLAB joint development mode.The designed digital signal processing algorithm is generated into a comprehensive network table file,achieving signal processing functions such as digital filtering,FFT transformation,cross spectral sound intensity sensor,etc.The PS side is designed to store and upload data,as well as interact with the upper computer,Added the universality and testability of the system.Finally,the paper conducted software and hardware tests on the acoustic detection submarine buoy system,verifying that the various functions of the system,such as collection,storage,and real-time processing,meet the design requirements.This provides an effective engineering system platform for developing distributed acoustic detection submarine buoy realtime signal processing.