An FPGA-based implementation of a multifunction environment sensing device for shared access with rotating radars |
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Author: | Khan, Zaheer1; Lehtomäki, Janne J.1; Hossain, Ekram2; |
Organizations: |
1Department of Communications Engineering, University of Oulu 2Department of Electrical and Computer Engineering, University of Manitoba 3Department of Electrical Engineering and Electronics, University of Liverpool |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 2 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2018101037976 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2018
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Publish Date: | 2018-10-10 |
Description: |
AbstractTo protect radar receivers and to facilitate shared access in radar bands, regulatory bodies have recommended the use of spectrum monitoring devices called environmental sensing capability (ESC). High-speed and low-cost ESC devices are required to process in real time the large amount of data (in-phase and quadrature samples) for the detection of radar signals and to differentiate them from secondary users (SUs) signals. In this paper, we present a field-programmable gate array (FPGA)-based design and implementation of a multifunction ESC device that can detect radar pulses and can also differentiate them from SU signals in microsecond time scales. The proposed ESC device performs the following tasks in parallel: 1) it detects and differentiates between radar and SU signals; 2) it measures received signal strength from SUs for radar protection; and 3) it also measures SUs’ airtime utilization (ATU) in a channel, which can be used to perform load balancing (based on ATU) of SUs on different channels for efficient access. Detection of signals requires threshold setting. We present a novel minimum-based threshold setting technique, which is suitable for real-time operation of energy detectors. We implement a prototype of the proposed ESC device design on a Wireless Open-Access Research Platform node, which is equipped with a Xilinx FPGA. We evaluate the performance of the implemented device and show that with very high probability (close to 100%), it detects and differentiates between radar and SU signals. Moreover, it also accurately measures the ATU of SUs. see all
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Series: |
IEEE transactions on instrumentation and measurement |
ISSN: | 0018-9456 |
ISSN-E: | 1557-9662 |
ISSN-L: | 0018-9456 |
Volume: | 67 |
Issue: | 11 |
Pages: | 2561 - 2578 |
DOI: | 10.1109/TIM.2018.2828718 |
OADOI: | https://oadoi.org/10.1109/TIM.2018.2828718 |
Type of Publication: |
A1 Journal article – refereed |
Field of Science: |
213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Funding: |
This work is funded by a Digital solutions in sensing and interactions grant from Infotech Oulu. |
Copyright information: |
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