Abstract
This paper uses wireless Channel State Information (CSI) and deep learning for obtaining situational awareness through environment mapping. Algorithms are developed that permit estimation of interior room dimensions using wireless Single-Input Single-Output (SISO) Channel Impulse Responses (CIRs). The impact of signal received power, and signal bandwidth, on the ability to predict room dimensions is further investigated. Under such CIR limitations, room dimension estimation accuracy of greater than 90% is achieved using Recurrent Neural Networks (RNNs) with a maximum predictive error of 0.5m. This demonstrates that existing consumer wireless systems with similar physical constraints, may be capable of accurately estimating room dimensions given multiple CIR measurements from multiple receiver locations.
Original language | English |
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Title of host publication | 2020, 14th International Conference on Signal Processing and Communication Systems, (ICSPCS) |
Subtitle of host publication | proceedings |
Editors | Tadeusz A. Wysocki, Beata J. Wysocki |
Place of Publication | Piscataway, NJ |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 1-9 |
Number of pages | 9 |
ISBN (Electronic) | 9781728199726, 9781728199719 |
ISBN (Print) | 9781728199733 |
DOIs | |
Publication status | Published - 2020 |
Event | 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Virtual Duration: 14 Dec 2020 → 16 Dec 2020 |
Conference
Conference | 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 |
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City | Virtual |
Period | 14/12/20 → 16/12/20 |