Consecutive application of the MUSIC and the DCMP method for data obtained from arrayed sonar receivers for optimizing the DOA pattern
Consecutive application of the MUSIC and the DCMP method for data obtained from arrayed sonar receivers for optimizing the DOA pattern
复制标题
对从阵列声纳接收器获得的数据连续应用 MUSIC 和 DCMP 方法以优化 DOA 方向图
DOI：
10.1109/oceans.2004.1405745
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发表时间：
2004
期刊：
影响因子：
--
通讯作者：
H. Susaki
中科院分区：
文献类型：
--
作者：
M. Nii;T. Iwata;H. Susaki
为了优化阵列换能器声纳的波达方向图，提出了一种新的数据处理方法。该方法包括连续应用多信号分类（MUSIC）方法和方向约束最小功率（DCMP）方法。MUSIC方法给出了阵列换能器上所有入射信号的DOA。然后，有关DOA的信息被用来确定约束的DCMP方法，通过该零灵敏度形成对干扰信号的DOA。这里，传统上，从DCMP方法获得的复权重向量不能再次结合到MUSIC方法中，以验证约束的设置的良好性或确认空值的性能的程度。我们已经开发了一种技术，将权重向量的MUSIC方法再次。一些模拟结果显示。
In order to optimize the direction of arrival (DOA) pattern of a sonar that is made of arrayed transducers, we propose a new data-processing method. The method consists of consecutive application of the multiple signal classification (MUSIC) method and the directionally constrained minimization of power (DCMP) method. The MUSIC method gives us DOAs of all incident signals on the arrayed transducers. Then, the information concerning the DOAs are used for determining constraints for the DCMP method, by which null sensitivities are formed against DOAs of disturbing signals. Here, conventionally, a complex weight vector obtained from the DCMP method was not able to incorporate into the MUSIC method again to verify the goodness of the settings of the constrains or to confirm the degree of the performance of the nulls. We have developed a technique to incorporate the weight vector into the MUSIC method again. Some simulation results are shown.