一种新的浅海目标方位估计方法

侯云山; 黄建国; 张立杰; 金勇

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一种新的浅海目标方位估计方法

专题研究 | 更新时间：2025-12-08

- 一种新的浅海目标方位估计方法
- A Novel Bearing Estimation Method for Shallow Water Targets
- 西安交通大学学报 2008年42卷第10期页码：1295-1299
- 作者机构：
  
  西北工业大学航海学院,西安,710072
- 作者简介：
- 基金信息：
  
  : 2008-02-28. 作者简介: 侯云山(1973-),男,博士生:黄建国(联系人),男,教授,博士生导师. 基金项目: 国家自然科学基金资助项目(60572098);航空科学基金资助项目(05F53027)
- DOI：
  中图分类号： TN911.7
- 网络首发：2008-10-10，
  
  纸质出版：2008
- 稿件说明：
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侯云山, 黄建国, 张立杰, 等. 一种新的浅海目标方位估计方法[J]. 西安交通大学学报, 2008,42(10):1295-1299.

侯云山, 黄建国, 张立杰, et al. A Novel Bearing Estimation Method for Shallow Water Targets[J]. 2008, 42(10): 1295-1299.
侯云山, 黄建国, 张立杰, 等. 一种新的浅海目标方位估计方法[J]. 西安交通大学学报, 2008,42(10):1295-1299. DOI：

侯云山, 黄建国, 张立杰, et al. A Novel Bearing Estimation Method for Shallow Water Targets[J]. 2008, 42(10): 1295-1299. DOI：

摘要

针对平面波假设下的目标方位估计方法对浅海中声源的定位存在偏差的问题

提出了一种新的浅海目标方位估计方法.采用可以反映浅海中声的远距离传播现象的简正波声场理论

把观测点处的声压看成是若干阶简正波的叠加

在平坦硬质海底和白高斯噪音的条件下

构造出了均匀线列阵的接收信号的矩阵方程形式

然后通过详细的数学推导给出了方位角的最大似然估计来完成对该方程的求解.该方法比经典的匹配场处理方法形式简洁、计算量小

比平面波条件下的信号子空间方法估计偏差小.仿真数据表明:随着信号入射方向和阵列法线夹角的增大

平面波假设下的MUSIC方法的估计偏差随之线性增加

而新方法的估计偏差并不显著增加; 随着信噪比的增加

平面波假设下的MUSIC方法的偏差始终是2°左右

而新方法估计偏差很小且趋于0.湖上试验结果验证了新方法可以有效实现浅海目标波达方向的渐近无偏估计.

Abstract

Aiming at solving the problem of biased bearing estimation of shallow water targets under plane-wave assumption

a novel bearing estimation method for shallow water target localization is proposed. The method adopts the normal modes sound wave theory which can truly reflect the phenomenon of numerous reflections from the bottom and great losses of acoustic energy accompanying sound propagation. The sound pressure at observation point is regarded as the superposition of some normal modes. Under the condition of flat solid seabed and white Gaussian noise

the received signal equation in matrix form is constructed for uniform linear array. The maximum likelihood bearing estimation is given as the solution of the equation by detailed mathematical derivation. Compared with classical matched field techniques

the proposed method is concise and costs much less in computational complexity. Compared with plane-wave subspace methods

the proposed method has less estimation bias. Simulation results show that while the bias of the plane-wave MUSIC grows linearly with the increase of incident angle relative to array normal

the bias of the proposed method doesn't grow evidently and that while the bias of the plane-wave MUSIC doesn't decrease too much and maintains about 2° with the increase of signal-to-noise ratio(SNR)

the bias of the proposed method is quite small and approaches 0. Lake experiments validated the capability of the proposed method of reaching asymptotically unbiased bearing estimates of shallow water targets.

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Keywords

references

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