Theoretical and Experimental Multi-Sensor Signal Detection in Time Spreading Distortion Underwater Channels
Document Type
Conference Proceeding
Publication Date
1-1-2022
Abstract
A signal in shallow water environments typically undergoes distortion caused by time spreading, which refers to receiving multiple copies of the signal at different times due to signal propagation through multiple paths. This distortion makes signal detection a challenging task. In this paper, we present a systematic framework for signal detection in time-spreading distortion underwater channels using multiple sensors. Using Monte Carlo simulations as well as experimental data collected at hydrophones, the performance of the detector is evaluated. Our results quantify the effect of the number of correlators per sensor on the detection performance, as well as the improvement obtained by using multiple sensors in time-spreading distortion underwater channels.
Identifier
85145771766 (Scopus)
ISBN
[9781665468091]
Publication Title
Oceans Conference Record IEEE
External Full Text Location
https://doi.org/10.1109/OCEANS47191.2022.9977229
ISSN
01977385
Volume
2022-October
Grant
IIP-1500123
Fund Ref
National Science Foundation
Recommended Citation
Rashid, Rami; Zhang, Erjian; Abdi, Ali; and Michalopoulou, Zoi Heleni, "Theoretical and Experimental Multi-Sensor Signal Detection in Time Spreading Distortion Underwater Channels" (2022). Faculty Publications. 3316.
https://digitalcommons.njit.edu/fac_pubs/3316
