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作 者:孙万生 SUN Wansheng(Zhongke Changcheng Ocean Information System Co.,Ltd.,Beijing 100080,China)
机构地区:[1]中科长城海洋信息系统有限公司,北京100080
出 处:《自动化应用》2023年第23期147-148,151,共3页Automation Application
摘 要:现有的检测方法相对误差较大,为此,本文研究了基于现场可编程门阵列(FPGA)的微弱声呐信号自动检测方法。首先,自动提取微弱声呐信号特征,运用该方法放大输入信号,以提升对微弱信号的检测准确性;其次,运用滤波器带宽有效消除噪声,快速捕捉关键信号并进行时序分析,通过采集完整信号实现快速检测;最后,当声呐接近目标的滤波输出时,在浅海环境下运用该方法减小检测误差。结果表明,当衰减值为25 d B时,实验组的相对误差为2%,能够准确检测微弱信号,减小检测的误差,实现检测方法的较好应用。The large relative error of the existing detection methods,therefore,this paper studied an automatic detection method of weak sonar signal based on field programmable gate array(FPGA).Firstly,the characteristics of weak sonar signal are automatically extracted,and the input signal is amplified by using the method to improve the detection accuracy of weak signal.Secondly,the filter bandwidth is used to effectively eliminate noise,quickly capture key signals for time sequence analysis,and realize rapid detection by collecting complete signals.Finally,when the sonar is close to the filtered output of the target,the method is used to reduce the detection error in shallow sea environment.The results show that when the attenuation value is 25 dB,the relative error of the group is 2%,which can accurately detect the weak signal,reduce the detection error and realize the better application of the detection method.
分 类 号:TP274[自动化与计算机技术—检测技术与自动化装置]
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