Journal of Systems Engineering and Electronics ›› 2010, Vol. 32 ›› Issue (9): 1803-1806.doi: 10.3969/j.issn.1001-506X.2010.09.03

• 电子技术 • 上一篇    下一篇

基于线性预测的ETAM水下目标方位估计方法

侯云山1,2, 黄建国1, 史文涛1   

  1. 1. 西北工业大学航海学院, 陕西 西安 710072; 
    2. 河南科技大学电子信息工程学院, 河南 洛阳 471003
  • 出版日期:2010-09-06 发布日期:2010-01-03

Linear prediction based ETAM method for underwater  target bearing estimation

HOU Yun-shan1,2, HUANG Jian-guo1, SHI Wen-tao1   

  1. 1. Coll. of Marine, Northwestern Polytechnical Univ., Xi’an 710072, China; 
    2. Coll. of Electronics and Information Engineering, Henan Univ. of Science and Technology, Luoyang 471003, China
  • Online:2010-09-06 Published:2010-01-03

摘要:

在传统的扩展拖曳阵列测量(extended towed array measurements, ETAM)方法的基础上,提出一种基于线性预测(linear prediction, LP)的ETAM水下目标方位估计新方法(LP-ETAM)来估计多个相干目标的方位。首先,使用传统的ETAM方法由物理阵的接收数据矩阵合成扩展后的虚拟阵的接收数据矩阵。然后,根据虚拟阵的接收数据矩阵来计算向前和向后线性预测的空域滤波器系数,并使用外推插值方法将虚拟阵向左方和右方扩展来得到更长的虚拟阵。最后,对最终得到的虚拟阵使用常规波束形成法输出波束来确定目标的方位。仿真实验显示,与ETAM方法相比,LP-ETAM对水下远程目标具有更好的分辨能力和阵增益。

Abstract:

On the basis of conventional extended towed array measurements (ETAM), this paper proposes a new bearing estimation method based on linear prediction techniques called LP-ETAM to estimate the bearings of multiple coherent targets. First, taking advantage of the array linear movement and coherence of underwater signals, the conventional ETAM is used to synthesize the data matrix of extended virtual array from the received data matrix of the physical array. Then, the forward and backward spatial filtering coefficients of linear prediction technique are calculated by the use of the data matrix of extended virtual array, and the aperture of the extended virtual array is increased by extrapolation in each direction. Finally, conventional beamforming technique is adopted to produce the power output which indicates the bearings of multiple targets. Simulations show that compared with the ETAM method, the proposed LP-ETAM method achieves better angular resolution ability and array gain for longdistance underwater targets.