Asymptotic Signal Detection Rates with 1-Bit Array Measurements
Abstract
This work considers detecting the presence of a band-limited random radio source using an antenna array featuring a low-complexity digitization process with single-bit output resolution. In contrast to high-resolution analog-to-digital conversion, such a direct transformation of the analog radio measurements to a binary representation can be implemented hardware and energy-efficient. However, the probabilistic model of the binary receive data becomes challenging. Therefore, we first consider the Neyman-Pearson test within generic exponential families and derive the associated analytic detection rate expressions. Then we use a specific replacement model for the binary likelihood and study the achievable detection performance with 1-bit radio array measurements. As an application, we explore the capability of a low-complexity GPS spectrum monitoring system with different numbers of antennas and different observation intervals. Results show that with a moderate amount of binary sensors it is possible to reliably perform the monitoring task.
BibTeX
@inproceedings{icassp2018_asymptoticsignal,
title = {Asymptotic Signal Detection Rates with 1-Bit Array Measurements},
author = {Manuel S. Stein},
booktitle = {ICASSP 2018},
year = {2018}
}