基于多级维纳滤波的洋流方位估计

安志娟; 苏洪涛; 保铮

doi:10.3724/SP.J.1146.2006.00615

基于多级维纳滤波的洋流方位估计

doi: 10.3724/SP.J.1146.2006.00615

安志娟^{①②;苏洪涛},
苏洪涛,
保铮

基金项目:

国家部委预研基金资助课题

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出版历程
- 收稿日期: 2006-05-08
- 修回日期: 2007-01-30
- 刊出日期: 2007-06-19

DOA Estimation of Ocean Currents Based on Multi-Stage Wiener Filter

An Zhi-juan^{①②;苏洪涛},
Su Hong-tao,
Bao Zheng

摘要

摘要: 该文提出基于多级维纳滤波(MSWF)降维技术的海面洋流方位估计方法。针对同一距离元探测到的洋流之间具有一定的相关性，先将观测数据作空间平滑，然后采用递推算法得到信号子空间和噪声子空间。该方法避免了协方差矩阵的估计及其特征分解，能够大大降低计算的复杂度，从而适应实时工作的需要。最后通过对实测数据的分析表明文中的方法可以快速有效地进行洋流方位探测。
- 洋流;相关性;MUSIC;多级维纳滤波
Abstract: In this paper the Multi-Stage Wiener Filter (MSWF) is presented for the DOA estimation of ocean currents. For echoes scattered from ocean waves with the same velocity of flow and in the same range bin are partially correlated, first the spatial smoothing technique is applied to the measured data to remove the correlation of signal, then the signal subspace and noise subspace can be obtained by the recursive algorithm instead of the estimation and eigen-decomposition of covariance matrix, therefore the computation complexity can be reduced remarkably, which is necessary for the real time system. Finally by analyzing the measured data, it is shown that this method can detect the currents efficiently and effectively.

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