Open AccessReal-Time Array Shape Estimation Method of Horizontal Suspended Linear Array Based on Non-Acoustic Auxiliary Sensors
Author(s) -
Zonglun Che,
Jun Wang,
Jing Zhu,
Bingbing Zhang,
Yang Zhang,
Yanqun Wu
Publication year - 2021
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2021.3061446
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
The horizontal floating linear array is a new type of array used to detect deep-sea targets. Reliable target detection depends on the estimation accuracy of the array shape. So far, it has been proved that the theoretical array line of the array form is parabolic under ideal conditions. This paper constructs a segmented array estimation method based on the measurement data of the attitude depth sensor. The key of this method is to use the translation invariance of the array curve to establish and solve the underdetermined equation of the segment curve on the array state function. The array curve is segmented according to the sensor and the estimated array curve is obtained by iterative splicing. The simulation data of the horizontal floating array shows that the estimation error of this method is small, and the error optimization analysis of the parameters is carried out in this paper. In addition, this method has good universal applicability so that it can be applied to the formation estimation of other types of arrays.