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作 者:乔路 赵金虎 冯西安[1] QIAO Lu;ZHAO Jinhu;FENG Xi’an(School of Marine Science and Technology,Northwestern Polytechnical University,Xi’an 710072,China)
出 处:《系统工程与电子技术》2024年第11期3605-3612,共8页Systems Engineering and Electronics
基 金:国家自然科学基金面上项目(62071386)资助课题。
摘 要:针对非高斯噪声干扰环境中,基于噪声统计信息的分布式传感器检测融合求解困难这一问题,提出一种非高斯噪声中水下目标辐射噪声的分布式检测融合方法。首先,将水声环境中的非高斯噪声建模为Alpha稳定分布模型,而将目标辐射噪声建模为高斯信号。然后,采用高斯函数检测器将非高斯噪声污染的目标辐射噪声转换为高斯噪声中的信号检测模型,得到检测器输出与输入噪声分布的参数关系以及信号分布参数关系。最后,以高斯函数检测器输出抽样样本作为检测统计量,在奈曼-皮尔逊(Neyman-Pearson,N-P)准则下设计分布式传感器检测融合系统的检测门限及检测融合规则,使得各传感器检测结果得到最优融合。计算机仿真结果验证了所提方法的正确性和有效性。To address the difficulty of solving the problem of distributed sensor detection and fusion based on noise statistical information,a distributed detection fusion method for detecting underwater target radiation noise in non-Gaussian noise is proposed.Firstly,the non-Gaussian noise in the underwater acoustic environment is modeled as an Alpha stable distribution model,and the target radiated noise is modeled as a Gaussian signal.Then,a Gaussian function detector is used to convert the polluted target radiation noise by non-Gaussian noise into a signal detection model in Gaussian noise,and the parameter relationship of the noise and signal distribution between the detector output and input is formulated.Finally,using the output sampling sample of the Gaussian function detector as the detection statistic,the detection threshold and fusion rules of the distributed sensor detection fusion system are designed under the Neyman-Perason(N-P)criterion,which results in the optimal fusion of the detection results of each sensor.The computer simulation results verify the correctness and effectiveness of the method.
关 键 词:水声传感器 非高斯噪声 高斯信号 分布式检测融合 高斯函数检测器
分 类 号:TB566[交通运输工程—水声工程]
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