@inproceedings{424c68a77f3d454da826732d036301ca,
title = "Dynamic formulation of co-prime array for DOA estimation",
abstract = "Among various sparse array techniques, co-prime array is found to be more attractive because its higher DoF with a smaller number of sensing elements. However, because of its specific physical non-uniform linear structure, it would be inconvenient and costly to implement in the presence of varying detection scenarios. In this paper, we propose to exploit the current ULA to dynamically formulate a co-prime array structure, which takes advantage of the properties of co-prime array while reducing the energy consumption and operational cost. Rather than being constrained with the specific physical structure, our scheme can be cost effectively applied in existing systems.",
keywords = "Co-prime array, difference co-array, DOA estimation, dynamic array",
author = "Xiaomeng Wang and Xin Wang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016 ; Conference date: 06-11-2016 Through 09-11-2016",
year = "2017",
month = mar,
day = "1",
doi = "10.1109/ACSSC.2016.7869189",
language = "English",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
publisher = "IEEE Computer Society",
pages = "949--953",
editor = "Matthews, \{Michael B.\}",
booktitle = "Conference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016",
}