@Article{sv.2018.03724,
AUTHOR = {Changgeng Shuai, Shike Zhang, Jiaxuan Yang, Sitong Zhou},
TITLE = {Array Shape Estimation Using Partitioned Eigenstructure Method with Sources in Unknown Localizations},
JOURNAL = {Sound \& Vibration},
VOLUME = {52},
YEAR = {2018},
NUMBER = {4},
PAGES = {2--5},
URL = {http://www.techscience.com/sv/v52n4/33768},
ISSN = {2693-1443},
ABSTRACT = {Advanced array processing approaches require accurate knowledge of the location of individual element in a sensor array. Most array shape estimation methods require the directions of sources. In this paper, an array shape estimation method based on eigen-decomposition is presented. The directions of sources do not need to be considered in advance and optimal array shape is generated through a series of iterations. To further improve the accuracy of this algorithm, a partitioned eigenstructure method is introduced. Numerical simulations using non-partitioned and partitioned method are conducted to verify the performance of the proposed technique.},
DOI = {10.32604/sv.2018.03724}
}