文献类型：期刊文献

英文题名：Direction of Arrival Estimation and Highlighting Characteristics of Testing Wideband Echoes from Multiple Autonomous Underwater Vehicles

作者：Yin, Xiaofeng[1];Zhang, Peizhen[1];Zhou, Guangbo[1];Feng, Ziyi[1]

机构：[1]Guangdong Ocean Univ, Coll Elect & Informat Engn, Zhanjiang 524088, Peoples R China

年份：2023

卷号：23

期号：19

外文期刊名：SENSORS

收录：SCI-EXPANDED(收录号：WOS:001083738400001)、、EI(收录号：20234214912716)、Scopus(收录号：2-s2.0-85174006163)、WOS

基金：This research was funded by the National Natural Science Foundation of China (grant number 11974084) and supported by the Natural Science Foundation of Guangdong Province, China (grant number 2022A1515011067).

语种：英文

外文关键词：wideband echo signal; autonomous underwater vehicles (AUVs); multiple targets; autofocusing; coherent signals

外文摘要：Multiple autonomous underwater vehicles (AUVs) have gradually become the trend in underwater operations. Identifying and detecting these new underwater multi-targets is difficult when studying underwater moving targets. A 28-element transducer is used to test the echo of multiple AUVs with different layouts in a lake. The characteristics of the wideband echo signals are studied. Under the condition that the direction of arrival (DOA) is not known, an autofocus coherent signal subspace (ACCSM) method is proposed. The focusing matrix is constructed based on the received data. The spatial spectrum of the array signal of multiple AUVs at different attitudes is calculated. The algorithm estimates the DOA of the echo signals to overcome the shortcomings of traditional wideband DOA estimation and improve its accuracy. The results show that the highlights are not only related to the number of AUVs, but are also modified by scale and attitude. The contribution of the microstructure of the target in the overall echo cannot be ignored. Different parts of the target affect the number of highlights, thus resulting in varying numbers of highlights at different attitude angle intervals. The results have significant implications for underwater multi-target recognition.