非高斯噪声中水下目标辐射噪声的分布式检测融合方法

doi:10.12305/j.issn.1001-506X.2024.11.02

系统工程与电子技术 ›› 2024, Vol. 46 ›› Issue (11): 3605-3612.doi: 10.12305/j.issn.1001-506X.2024.11.02

非高斯噪声中水下目标辐射噪声的分布式检测融合方法

乔路, 赵金虎, 冯西安

西北工业大学航海学院, 陕西西安 710072

收稿日期:2023-09-01 出版日期:2024-10-28 发布日期:2024-11-30
通讯作者: 乔路
作者简介:乔路(1994—), 男, 博士研究生, 主要研究方向为水声信号处理、信息融合
赵金虎(1998—), 男, 硕士研究生, 主要研究方向为水声信号处理、信息融合
冯西安(1962—), 男, 教授, 博士, 主要研究方向为水声信号与信息处理、信息融合、目标跟踪
基金资助:
国家自然科学基金面上项目(62071386)

Distributed detection fusion method for underwater target radiation noise in non-Gaussian noise

Lu QIAO, Jinhu ZHAO, Xi'an FENG

School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China

Received:2023-09-01 Online:2024-10-28 Published:2024-11-30
Contact: Lu QIAO

摘要/Abstract

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。

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

Abstract:

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.

Key words: underwater acoustic sensor, non-Gaussian noise, Gauss signal, distributed detection fusion, Gaussian function detector

中图分类号:

TB566

乔路, 赵金虎, 冯西安. 非高斯噪声中水下目标辐射噪声的分布式检测融合方法[J]. 系统工程与电子技术, 2024, 46(11): 3605-3612.

Lu QIAO, Jinhu ZHAO, Xi'an FENG. Distributed detection fusion method for underwater target radiation noise in non-Gaussian noise[J]. Systems Engineering and Electronics, 2024, 46(11): 3605-3612.

图/表 5

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非高斯噪声中水下目标辐射噪声的分布式检测融合方法

Distributed detection fusion method for underwater target radiation noise in non-Gaussian noise

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