浅海环境下稳健的最小二乘匹配场定位算法

发布时间：2017-12-27 13:26

本文关键词：浅海环境下稳健的最小二乘匹配场定位算法　出处：《西北工业大学学报》2017年03期 　论文类型：期刊论文

【摘要】：匹配场处理在海洋环境参数估计领域具有优于常规算法的性能,但其对噪声及环境扰动十分敏感,制约了该方法的应用。为了提高匹配场处理的稳健性,提出了浅海环境下稳健的最小二乘匹配场定位算法。该方法用简正波模型把浅海环境的声场分解为模态函数矩阵和模态系数向量,把环境扰动构建为模态函数的扰动,并在最小范数意义下用最小二乘算法对噪声和环境扰动进行约束,从而提高了匹配场处理的稳健性和定位性能。最后,使用海试实验数据对最小二乘匹配场处理器进行了验证。结果表明:和常规匹配场处理器相比,该算法的峰值背景比提高了约0.6~1.7 d B,而且对声源位置参数的估计更准确。
[Abstract]:Matched field processing has better performance than traditional algorithm in the field of marine environmental parameter estimation, but it is very sensitive to noise and environmental disturbance, which restricts the application of this method. In order to improve the robustness of the matching field, a robust least square matching field location algorithm is proposed in the shallow sea environment. This method uses normal model to shallow water environment field decomposed into modal function matrix and modal coefficient vector to construct environmental disturbance disturbance mode function, restrain noise and environmental disturbance and use the least squares algorithm in the minimum norm, thereby improving the matching field robustness and location processing performance. Finally, the least square matching field processor is verified by using the sea test data. The results show that compared with the conventional matched field processor, the peak background ratio of the proposed algorithm is improved by about 0.6~1.7 D B, and the estimation of the location parameters of the sound source is more accurate.
【作者单位】：西北工业大学航海学院;
【基金】：国家自然科学基金青年科学基金(51309191) 中央高校基本科研业务费专项资金(3102017zy010)资助
【分类号】：P714;X834
【正文快照】： 近年来海洋环境的监测与保护越来越受到人们的重视,匹配场处理(matched field processing,MFP)作为一种新兴的海洋观测手段受到了国内外学者的广泛关注,该方法的本质是在具有环境模型的基础上仿真声场信息并与真实声场进行对比。该方法作为一种空域滤波技术被广泛应用在海洋环

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