摘要
为了有效地检测出淹没在背景噪声中的水下弱目标回波信号,建立高斯噪声和脉冲噪声背景下的水下弱目标多脉冲回波模型,并导出匹配滤波器的输出模型,提出基于非线性运算的目标回波积累检测算法,利用该算法检测淹没在背景噪声下的弱目标回波信号。结果表明,无论是高斯噪声还是脉冲噪声、静止目标还是匀速运动目标,该算法均能有效地检测出目标回波信号。
In order to effectively detect underwater weak target echoes submerged in complex background noise, the multi-pulse echo model of underwater weak target under Gaussian noise and pulse noise is established, the output model of matching filter is derived, and a target echo integration and detection algorithm based on nonlinear operation is proposed, which is used to detect the weak target echo signal submerged in background noise. The results show that the algorithm can effectively detect the target echo signal no matter it is Gaussian noise or pulse noise, stationary target or uniformly moving target.
作者
张杨梅
毕杨
ZHANG Yang-mei;BI Yang(School of Electronic Engineering,Xi′an Aeronautical Institute,Xi′an 710077,China)
出处
《西安航空学院学报》
2022年第5期79-84,共6页
Journal of Xi’an Aeronautical Institute
基金
国家自然科学基金青年基金(12004293)。
关键词
非线性运算
高斯噪声
脉冲噪声
水下弱目标检测
脉冲积累
nonlinear operation
Gaussian noise
impulsive noise
underwater weak target detection
pulse integration
