哈尔滨工程大学学报2013，Vol.34Issue(2)：240-244,5.DOI:10.3969/j.issn.1006-7043.201203068
合成孔径声呐多接收阵数据融合CS成像算法
Chirp scaling imaging algorithm for synthetic aperture sonar based on data fusion of multi-receiver array
摘要
Abstract
The different locations for the transmitter and receiver array elements in the multi-receiver synthetic aperture sonar (SAS) make the course of slant range become the sum of two individual hyperbolic functions. Thus, it is very difficult to get the range-Doppler domain and two-dimensional frequency domain analytical expressions, which are indispensable parts for multi-receiver SAS fast imaging algorithms. This paper considers the contributions of transmitter and receiver phase history to the Doppler frequency of azimuth phase separately. As a result, the time domain echo data in the multi-receiver array pattern is identical to a two-dimensional convolution of quasi-monostat-ic and bistatic deformation terms. Therefore, after removing the bistatic deformation term, the multi-receiver SAS may be transferred into a conventional monostatic SAS imaging problem. Based on the premise of transferring the multi-receiver SAS into a conventional monostatic SAS imaging problem, a Chirp Scaling (CS) imaging algorithm study was conducted. Finally, the simulation and lake trial results show the validity of the proposed method.关键词
合成孔径声呐/多接收阵/驻相方法/CS算法/数据融合Key words
synthetic aperture sonar/ multiple-receiver array/ method of stationary phase/ CS algorithm/ data fusion分类
信息技术与安全科学引用本文复制引用
张学波,唐劲松,钟何平..合成孔径声呐多接收阵数据融合CS成像算法[J].哈尔滨工程大学学报,2013,34(2):240-244,5.基金项目
国家自然科学基金资助项目(61072092,61101205). （61072092,61101205）
