摘要
文章针对强噪声干扰条件下的水下弱声源匹配场定位问题,提出离散噪声源干扰抑制的多传感器阵列匹配场处理技术。通过建立最优化问题,约束最优权向量,使其满足对观测方位的波束响应无失真,而对强干扰噪声源方位的响应为零,推导得出上述条件下匹配场模糊度函数的最小方差解。通过弱声源位于强干扰噪声源正下方的实例,验证了所提出方法的有效性。仿真结果表明,在信干比为-10dB情况下,利用所提出的方法实现了水下弱声源的匹配场定位。
Aiming at the localization problem of underwater weak sound source matched field processing under the condition of strong noise interference, this paper proposes a multi-sensor array matched field processing technology for discrete noise source interference suppression. By establishing the optimization problem and constraining the optimal weight vector so that the beam response to the observed azimuth is undistorted and the response to the strong interference noise source azimuth is zero, the minimum variance solution of the output power of the matched field processor under the above constraints is obtained. The effectiveness of the proposed method is verified by an example where a weak sound source is located directly below a strong interference noise source. The simulation results show that, with the signal-to-interference ratio of-10 dB, the proposed method is successfully used to locate the underwater weak sound source.
作者
郑胜家
郑文杰
舒剑
ZHENG Shengjia;ZHENG Wenjie;SHU Jian
出处
《科技创新与应用》
2020年第3期33-34,共2页
Technology Innovation and Application
基金
福建省自然科学基金面上项目(编号:2016J01668)
福建省自然科学基金面上项目(编号:2017J01764)
福建省自然科学基金面上项目(编号:JA15264)
关键词
匹配场处理
分布式多传感器阵列
定位
matched field processing
distributed multi-sensor array
localization