TY - GEN
T1 - One-Bit DOA Estimation for Partially Calibrated Arrays with Unknown Uncertainties
AU - Liao, Chenxi
AU - Shen, Qing
AU - Wang, Min
AU - Jiang, Yuxiang
AU - Kong, Youhao
AU - Liu, Wei
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - Combining multiple distributed sub-arrays can create an array with a much larger aperture, achieving significant improvement in direction-of-arrival (DOA) estimation performance. In this paper, one-bit DOA estimation for partially calibrated arrays (PCAs) is investigated, in the presence of imperfections with unknown inter-subarray displacements and amplitude-phase uncertainty. Toward this end, the DOAs are decoupled with these imperfections, forming a decoupled array signal model after one-bit quantization. Then, based on the group-sparsity (GS) concept, a one-bit sparse representation of array covariance vectors (SRACV) framework is formulated, exploiting information from all sub-arrays jointly. Besides, the pessimistic Cramér-Rao Bound (CRB) for one-bit measurements is derived to provide a benchmark for evaluating the performance. Simulation results are provided to demonstrate the effectiveness and improved performance of the proposed method.
AB - Combining multiple distributed sub-arrays can create an array with a much larger aperture, achieving significant improvement in direction-of-arrival (DOA) estimation performance. In this paper, one-bit DOA estimation for partially calibrated arrays (PCAs) is investigated, in the presence of imperfections with unknown inter-subarray displacements and amplitude-phase uncertainty. Toward this end, the DOAs are decoupled with these imperfections, forming a decoupled array signal model after one-bit quantization. Then, based on the group-sparsity (GS) concept, a one-bit sparse representation of array covariance vectors (SRACV) framework is formulated, exploiting information from all sub-arrays jointly. Besides, the pessimistic Cramér-Rao Bound (CRB) for one-bit measurements is derived to provide a benchmark for evaluating the performance. Simulation results are provided to demonstrate the effectiveness and improved performance of the proposed method.
KW - direction-of-arrival estimation
KW - group sparsity
KW - one-bit quantization
KW - Partially calibrated arrays
UR - https://www.scopus.com/pages/publications/105043445523
U2 - 10.1109/ISCAS66217.2026.11562882
DO - 10.1109/ISCAS66217.2026.11562882
M3 - Conference contribution
AN - SCOPUS:105043445523
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
SP - 882
EP - 886
BT - ISCAS 2026 - 2026 IEEE International Symposium on Circuits and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2026 IEEE International Symposium on Circuits and Systems, ISCAS 2026
Y2 - 24 May 2026 through 27 May 2026
ER -