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A Downscaled Faster-RCNN Framework for Signal Detection and Time-Frequency Localization in Wideband RF Systems
- Source :
- IEEE Transactions on Wireless Communications. 19:4847-4862
- Publication Year :
- 2020
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2020.
-
Abstract
- We propose a wideband spectrum sensing technique to detect and localize wireless radio frequency (RF) signals of interest in time and frequency when uninteresting signals cause RF interference (RFI). Specifically, we adopt and downscale the existing Faster-RCNN (FRCNN) framework to achieve better signal detection and localization than the state-of-the-art. For experimental evaluation, we present a data generation framework for Wi-Fi as the signals of interest and the Bluetooth and microwave oven signals as the RFI. Experiments reveal that (i) the downscaled FRCNN model can achieve up to a mean average precision (mAP) of 0.8, significantly outperforming the state-of-the-art, (ii) feature extraction with the VGG-13 architecture gives the best mAP with pretrained weights and configured as trainable, (iii) for signal detection in real RF traces, when compared to training purely with synthetic RF data, a better mAP can be achieved by training with a mixture of synthetic and real RF traces or by finetuning the synthetically-trained weights with an additional round of training on a small amount of real RF traces, and (iv) the mAP performance decreases as the signal to noise ratio (SNR) is lowered.
- Subjects :
- business.industry
Computer science
Applied Mathematics
Microwave oven
020206 networking & telecommunications
Pattern recognition
02 engineering and technology
Electromagnetic interference
Computer Science Applications
law.invention
Bluetooth
Signal-to-noise ratio
law
0202 electrical engineering, electronic engineering, information engineering
Wireless
Detection theory
Artificial intelligence
Radio frequency
Electrical and Electronic Engineering
Wideband
business
Subjects
Details
- ISSN :
- 15582248 and 15361276
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Wireless Communications
- Accession number :
- edsair.doi...........7bcac47d6db1ff0164b81fb9f743e33e