@inproceedings{3ff13a8404a74b99b1c44715224143f6,
title = "Wideband source localization using one-bit quantized arrays",
abstract = "We consider the problem of source localization with signals that are quantized to a single bit. While this problem has been previously addressed for narrowband signals quantized in complex baseband, we consider wideband signals quantized directly in the time domain. We adapt the generalized cross correlation estimator to work with quantized signals and analyze its theoretical performance as a function of the signal-to-noise ratio (SNR). We find that quantization imposes a small penalty at low SNR but scales poorly at high SNR. Furthermore, we analyze the effects of sampling on estimation performance and show that oversampling is necessary at high SNR. Finally, we apply the generalized cross correlation weighting function to steered response power direction-of-arrival estimation with a larger array. We demonstrate the performance of the system for speech localization.",
keywords = "DOA estimation, array processing, coarse quantization, delay estimation, source localization",
author = "Corey, {Ryan M.} and Singer, {Andrew C.}",
note = "Funding Information: This work was supported in part by Systems on Nanoscale Information fabriCs (SONIC), one of the six SRC STARnet centers sponsored by MARCO and DARPA. This material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under Grant Number DGE-1144245. Publisher Copyright: {\textcopyright} 2017 IEEE.; 7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017 ; Conference date: 10-12-2017 Through 13-12-2017",
year = "2018",
month = mar,
day = "9",
doi = "10.1109/CAMSAP.2017.8313208",
language = "English (US)",
series = "2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--5",
booktitle = "2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017",
address = "United States",
}