Optimal Mixed-ADC Arrangement for DOA Estimation Via CRB Using ULA
Xinnan Zhang, Yuanbo Cheng, Xiaolei Shang, Jun Liu
Abstract
We consider a mixed analog-to-digital converter (ADC) based architecture for direction of arrival (DOA) estimation using a uniform linear array (ULA). We derive the Cramér-Rao bound (CRB) of the DOA under the optimal time-varying threshold, and find that the asymptotic CRB is related to the arrangement of high-precision and one-bit ADCs for a fixed number of ADCs. Then, a new concept called "mixed-precision arrangement" is proposed. It is proven that better performance for DOA estimation is achieved when high-precision ADCs are distributed evenly around the edges of the ULA. This result can be extended to a more general case where the ULA is equipped with various precision ADCs. Simulation results show the validity of the asymptotic CRB and better performance under the optimal mixed-precision arrangement.
BibTeX
@inproceedings{icassp2023_optimalmixedadca,
title = {Optimal Mixed-ADC Arrangement for DOA Estimation Via CRB Using ULA},
author = {Xinnan Zhang and Yuanbo Cheng and Xiaolei Shang and Jun Liu},
booktitle = {ICASSP 2023},
year = {2023}
}