A Low Power Underwater Acoustic Target Detection System for Small Platforms

Abstract

The invention discloses a low power consumption underwater acoustic target detection system suitable for small platforms. The invention is suitable for small platforms, has the characteristics of low power consumption and small size, and can realize long-term and large-scale ocean observation; it can provide target information for various underwater unmanned vehicles, and can be used for unmanned submersible network collaboration It lays the foundation for detection; at the same time, it realizes the target detection function of narrowband and broadband sonar, which can identify the target type while detecting the presence or absence of the target and the orientation of the target; it can work in a non-stationary time-varying noise environment, and self-adaptive calculation detection threshold. The hardware of the present invention adopts the CPU and FPGA of multi-chip packaging technology to realize; the adopted CPU itself integrates large-capacity storage, reduces the complexity of the circuit system, and reduces the volume of the electronic system; Compared with the detection system implemented by traditional DSP chips, the overall power consumption is greatly reduced.

Description

technical field [0001] The invention belongs to the field of underwater target detection, in particular to a low-power underwater acoustic target detection system suitable for small platforms. Background technique [0002] Underwater target detection has a very wide range of applications in civil, national defense and security fields. Due to the large attenuation of electromagnetic waves in water, acoustic means are generally used to detect underwater targets. Traditional acoustic target detection equipment has large volume, high energy consumption and low intelligence. Under normal circumstances, traditional target detection systems are mounted on large platforms such as ships or warships. Acoustic signals are first collected through large aperture arrays, and then manually monitored and identified by operators. The operator first judges whether the target appears according to the received signal, then determines the target azimuth, and finally identifies the target accor...

AI Technical Summary

Problems solved by technology

[0004] Directly applying the traditional detection system to a small platform has disadvantages such as low autonomy of the detection method and high energy consumption

Low autonomy reduces the detection and target parameter estimation performance of small platforms, and excessive energy consumption will reduce the endurance time of small platforms

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