电子学报 ›› 2014, Vol. 42 ›› Issue (7): 1374-1378.DOI: 10.3969/j.issn.0372-2112.2014.07.020

• 科研通信 • 上一篇    下一篇

一种基于中心矩的波束形成算法

谷新禹1,2, 李秀坤1,2   

  1. 1. 哈尔滨工程大学水声技术重点实验室, 黑龙江哈尔滨 150001;
    2. 哈尔滨工程大学水声工程学院, 黑龙江哈尔滨 150001
  • 收稿日期:2013-05-21 修回日期:2014-01-15 出版日期:2014-07-25
    • 作者简介:
    • 谷新禹 男.1986年生于黑龙江哈尔滨.哈尔滨工程大学水声工程学院硕士研究生,研究方向为阵列信号处理.E-mail:ggw516@163.com;李秀坤 女.1962年12月生,黑龙江哈尔滨人.教授,博士生导师.2000年获哈尔滨工程大学工学博士学位,现为哈尔滨工程大学水声工程学院副院长.主要从事水下目标识别、阵列信号处理等方面的研究工作.E-mail:lixiukun@hrbeu.edu.cn
    • 基金资助:
    • 国家自然科学基金 (No.51279033); 黑龙江省自然科学基金 (No.F201346)

Beamforming Algorithm Based on Central Moment

GU Xin-yu1,2, LI Xiu-kun1,2   

  1. 1. Science and Technology on Underwater Acoustic Laboratory, Harbin Engineering University, Harbin, Heilongjiang 150001, China;
    2. College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin, Heilongjiang 150001, China
  • Received:2013-05-21 Revised:2014-01-15 Online:2014-07-25 Published:2014-07-25
    • Supported by:
    • National Natural Science Foundation of China (No.51279033); Natural Science Foundation of Heilongjiang Province,  China (No.F201346)

摘要:

高分辨水下目标探测一直是水声信号处理中的重要课题之一.然而许多高分辨算法如MUSIC,ESPRIT需要对信源数进行预估,估计的精确度对算法性能影响很大,制约了算法的实用性.本文提出了一种新的高分辨方位估计算法,中心矩波束形成算法.该方法利用了加权基元信号的各阶中心矩,无需先验信息.本文详细论述了中心矩波束形成算法的原理,对比其他算法指出了该算法性能上的优势.计算机仿真实验表明:中心矩波束形成算法拥有良好的分辨率和旁瓣级,与理论分析的结论一致.

关键词: 水下目标探测, 中心矩, 波束形成, 高分辨

Abstract:

The high-resolution underwater target detection has always been one of the important issues in the underwater acoustic signal processing.However,many of the high-resolution algorithms,such as MUSIC ESPRIT,suffer from poor estimation of the signal numbers which makes the direction-of-arrival (DOA) performance bad.A new high-resolution DOA method is proposed which makes use of the central moment without the prior information.The principle of the new method is explained and the advantage over other algorithms is discussed.Simulation result shows that the performance of proposed method which has good resolution and low sidelobe level is close to the conclusions of the theoretical analysis.

Key words: underwater target detection, central moment, beamforming, high-resolution

中图分类号: