Direct Position Determination with One-Bit Signal for Multiple Targets
Lihua Ni, Di Zhang, Tianyi Xing, Maoyan Ran, Ning Liu, Qun Wan
Abstract
The traditional direct position determination (DPD) for multiple targets usually requires transmitting raw data to the fusion center (FC), which occupies large transmission bandwidth and hardware resource. To solve this problem, we adopt one-bit analog-to-digital converters (ADCs) for a distributed subarray (DS) system, and propose an one-bit DPD method with multiple signal classification (1-bit DPD-MUSIC). The method approximates the one-bit signal as a scaled infinite-bit signal with a quantization error. Thus, the MUSIC algorithm can be straightforwardly applied without extra preprocessing. Simulations demonstrate that the proposed method saves large bandwidth and power with a slight loss of performance compared with the infinite-bit one. Moreover, 1-bit DPD-MUSIC is computationally efficient and outperforms the one-bit DPD based on maximum likelihood estimate (MLE) one for the close targets.
BibTeX
@inproceedings{icassp2023_directpositionde,
title = {Direct Position Determination with One-Bit Signal for Multiple Targets},
author = {Lihua Ni and Di Zhang and Tianyi Xing and Maoyan Ran and Ning Liu and Qun Wan},
booktitle = {ICASSP 2023},
year = {2023}
}