TY  - EJOU
AU  - Shuai, Changgeng 
AU  - Zhang, Shike 
AU  - Yang, Jiaxuan 
AU  - Zhou, Sitong 

TI  - Array Shape Estimation Using Partitioned Eigenstructure Method with Sources in Unknown Localizations
T2  - Sound \& Vibration

PY  - 2018
VL  - 52
IS  - 4
SN  - 2693-1443

AB  - 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.
KW  - Array shape estimation
KW  -  eigenstructure method
KW  -  partitioned array

DO  - 10.32604/sv.2018.03724