TY - GEN
T1 - Wideband DOA Estimation with Magnitude-Only Measurements
AU - Wan, Zhengyu
AU - Liu, Wei
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/7
Y1 - 2023/7
N2 - The problem of non-coherent direction of arrival (DOA) estimation of wideband signals with magnitude-only measurements is studied in this paper. Unlike the traditional coherent DOA estimation methods, where discrete Fourier Transform (DFT) can be applied to sensor measurements in order to formulate the problem into a narrowband form, the non-coherent model processes wideband signals in time domain directly by exploiting the convolutional sparse coding (CSC) framework. As shown by simulations, the proposed solution has the advantage of being robust against frequency independent sensor response errors.
AB - The problem of non-coherent direction of arrival (DOA) estimation of wideband signals with magnitude-only measurements is studied in this paper. Unlike the traditional coherent DOA estimation methods, where discrete Fourier Transform (DFT) can be applied to sensor measurements in order to formulate the problem into a narrowband form, the non-coherent model processes wideband signals in time domain directly by exploiting the convolutional sparse coding (CSC) framework. As shown by simulations, the proposed solution has the advantage of being robust against frequency independent sensor response errors.
KW - convolutional sparse coding
KW - directional of arrival estimation
KW - wideband array
UR - http://www.scopus.com/inward/record.url?scp=85167719945&partnerID=8YFLogxK
U2 - 10.1109/ISCAS46773.2023.10182224
DO - 10.1109/ISCAS46773.2023.10182224
M3 - Conference article published in proceeding or book
AN - SCOPUS:85167719945
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
BT - ISCAS 2023 - 56th IEEE International Symposium on Circuits and Systems, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 56th IEEE International Symposium on Circuits and Systems, ISCAS 2023
Y2 - 21 May 2023 through 25 May 2023
ER -