An Algorithm for Estimating Doppler Frequency of Underwater High-Speed Moving Target

摘要：

Aiming at the problem of doppler frequency estimation of underwater high-speed moving target, based on the principle of ESPRIT algorithm, an improved ESPRIT algorithm is proposed. Using the time delay data of target echo signal to construct two sub-arrays with the same array shape, a matrix pencil is constructed by the cross covariance matrix of the two sub-arrays. By means of generalized eigen decomposition of the matrix pencil, the doppler frequency of underwater high-speed moving target can be obtained. Compared with the standard ESPRIT algorithm, the improved ESPRIT algorithm does not require the eigendecomposition of auto-covariance matrix, and thus has lower computational complexity. Computer simulation shows that the proposed method is effective for estimating doppler frequency of underwater high-speed moving target.

关键词： high-speed moving target active detection ESPRIT eigen-decomposition doppler frequency estimation algorithm

作者: Changcun Sun Zhiliang Ren Yaobo Li Tao Zhang

作者单位: Department of Weaponry ngineering Naval University of Engineering Wuhan China Unit No.92538 Chinese Peoples Liberation Army Lvshun China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 14-17

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）