DocumentCode
713632
Title
A 7-µW 2.4-GHz wake-up receiver with -80 dBm sensitivity and high co-channel interferer tolerance
Author
Milosiu, Heinrich ; Oehler, Frank ; Eppel, Markus ; Fruehsorger, Dieter ; Thoenes, Thomas
Author_Institution
RFIC Design Group, Fraunhofer Inst. for Integrated Circuits (IIS), Erlangen, Germany
fYear
2015
fDate
25-28 Jan. 2015
Firstpage
35
Lastpage
37
Abstract
An ultra-low power wake-up receiver for 2.4-GHz wireless sensor networks, based on a fast sampling method, is presented. A novel multi-branch receiver architecture covers a wide range of interferer scenarios for highly occupied radio channels. The scalability of current consumption versus data rate at a constant sensitivity is another useful feature that fits a multitude of applications, requiring both short reaction times and ultra-low power consumption. The 2.4-GHz OOK receiver comprises a 3-branch analog superheterodyne front-end and six digital 31-bit correlating decoders. It is fabricated in a 130-nm CMOS technology. The current consumption is 2.9 μA at 2.5 V supply voltage and a reaction time of 30 ms. The receiver sensitivity is -80 dBm. Among other sub-100 μW state-of-the-art receivers, the presented implementation shows the best reported sensitivity.
Keywords
CMOS integrated circuits; amplitude shift keying; cochannel interference; power consumption; radio receivers; wireless sensor networks; CMOS technology; OOK receiver; co-channel interferer tolerance; current 2.9 muA; current consumption; digital 31-bit correlating decoders; fast sampling method; frequency 2.4 GHz; multibranch receiver architecture; power 100 muW; power 7 muW; receiver sensitivity; size 130 nm; ultra-low power consumption; voltage 2.5 V; wake-up receiver; wireless sensor networks; Correlators; Low-power electronics; Power demand; Receivers; Sensitivity; Wireless communication; Wireless sensor networks; IEEE 802.11b; Wake-up receiver; ultra-low power receiver; wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Sensors and Sensor Networks (WiSNet), 2015 IEEE Topical Conference on
Conference_Location
San Diego, CA
Type
conf
DOI
10.1109/WISNET.2015.7127409
Filename
7127409
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