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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chacon-Rodriguez, A. Martin-Pirchio, F. Sanudo, S. Julian, P. |
| Copyright Year | 2004 |
| Abstract | A low-power IC for the estimation of the delay between two infinitely clipped (digital) signals is designed and implemented in a 0.35-mum standard CMOS technology. The proposed circuit is based on a sliding-mode control system and does not need past values of the inputs, which are usually stored using chains of digital registers or analog delay lines and significantly increase the power consumption. The IC is intended to work in ultralow-power miniature sensor network nodes performing localization in the audio range [20, 1000] Hz, as part of a forest environmental protection network. Power dissipation results show a core power consumption of 1.04 muW at 3.3 V and only 282 nW at 1.8 V-in both cases with a clock frequency of 200 kHz. The circuit is fully operative and was successfully tested on field as part of a low-power bearing sensor unit. |
| Sponsorship | IEEE Circuits and Systems Society |
| Starting Page | 575 |
| Ending Page | 579 |
| Page Count | 5 |
| File Size | 414258 |
| File Format | |
| ISSN | 15497747 |
| Volume Number | 56 |
| Issue Number | 7 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Delay effects Delay estimation Delay lines CMOS technology Energy consumption Circuit testing CMOS integrated circuits CMOS digital integrated circuits Signal design Integrated circuit technology microphone arrays Acoustic signal processing bearing angle estimation correlation-derivative circuit delay estimation correlation methods direction of arrival estimation low-power consumption low-power sensor networks |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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