A cross-correlation sub-sampling receiver for low power applications in a low SINR environment

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Abstract

Wireless sensor networks have recently emerged in a wide range of applications. Many attributes are essential for such networks such as: low cost, small form-factor, limited peak power consumption and the ability to operate in harsh interference scenarios. Most of these networks do not require high data-rates to operate. In this respect, sub-sampling receivers have shown promising results but suffer from noise folding and interference aliasing. In this paper, a sub-sampling receiver in combination with cross-correlation is used to enhance sensitivity and interference robustness while maintaining the sub-sampling advantages. An architecture which uses two different sampling frequencies is proposed. It shows ∼2dB SNR improvement compared to traditional architectures due to cross-correlation and an additional ∼2dB for each doubling of integrations. For a BER of 10– 3 , the required SIR is reduced with 4.5dB, 11.5dB and 14.5dB after using cross-correlation with the same, half and quarter data-rate used respectively. These improvements allow for a lower-power and lower-cost implementation.
Original languageEnglish
Title of host publication2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
PublisherIEEE
Pages1108
Number of pages1112
ISBN (Electronic)978-1-5386-7266-2
ISBN (Print)978-1-5386-7267-9
DOIs
Publication statusPublished - 1 Nov 2018

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Sampling
Costs
Wireless sensor networks
Electric power utilization

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Mikhael, M. R. M., Oude Alink, M. S., & Kokkeler, A. B. J. (2018). A cross-correlation sub-sampling receiver for low power applications in a low SINR environment. In 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (pp. 1108). IEEE. https://doi.org/10.1109/IEMCON.2018.8614927
Mikhael, Mina Raafat Mitry ; Oude Alink, Mark Stefan ; Kokkeler, Andre B.J. / A cross-correlation sub-sampling receiver for low power applications in a low SINR environment. 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) . IEEE, 2018. pp. 1108
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abstract = "Wireless sensor networks have recently emerged in a wide range of applications. Many attributes are essential for such networks such as: low cost, small form-factor, limited peak power consumption and the ability to operate in harsh interference scenarios. Most of these networks do not require high data-rates to operate. In this respect, sub-sampling receivers have shown promising results but suffer from noise folding and interference aliasing. In this paper, a sub-sampling receiver in combination with cross-correlation is used to enhance sensitivity and interference robustness while maintaining the sub-sampling advantages. An architecture which uses two different sampling frequencies is proposed. It shows ∼2dB SNR improvement compared to traditional architectures due to cross-correlation and an additional ∼2dB for each doubling of integrations. For a BER of 10– 3 , the required SIR is reduced with 4.5dB, 11.5dB and 14.5dB after using cross-correlation with the same, half and quarter data-rate used respectively. These improvements allow for a lower-power and lower-cost implementation.",
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Mikhael, MRM, Oude Alink, MS & Kokkeler, ABJ 2018, A cross-correlation sub-sampling receiver for low power applications in a low SINR environment. in 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) . IEEE, pp. 1108. https://doi.org/10.1109/IEMCON.2018.8614927

A cross-correlation sub-sampling receiver for low power applications in a low SINR environment. / Mikhael, Mina Raafat Mitry; Oude Alink, Mark Stefan; Kokkeler, Andre B.J.

2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) . IEEE, 2018. p. 1108.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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N2 - Wireless sensor networks have recently emerged in a wide range of applications. Many attributes are essential for such networks such as: low cost, small form-factor, limited peak power consumption and the ability to operate in harsh interference scenarios. Most of these networks do not require high data-rates to operate. In this respect, sub-sampling receivers have shown promising results but suffer from noise folding and interference aliasing. In this paper, a sub-sampling receiver in combination with cross-correlation is used to enhance sensitivity and interference robustness while maintaining the sub-sampling advantages. An architecture which uses two different sampling frequencies is proposed. It shows ∼2dB SNR improvement compared to traditional architectures due to cross-correlation and an additional ∼2dB for each doubling of integrations. For a BER of 10– 3 , the required SIR is reduced with 4.5dB, 11.5dB and 14.5dB after using cross-correlation with the same, half and quarter data-rate used respectively. These improvements allow for a lower-power and lower-cost implementation.

AB - Wireless sensor networks have recently emerged in a wide range of applications. Many attributes are essential for such networks such as: low cost, small form-factor, limited peak power consumption and the ability to operate in harsh interference scenarios. Most of these networks do not require high data-rates to operate. In this respect, sub-sampling receivers have shown promising results but suffer from noise folding and interference aliasing. In this paper, a sub-sampling receiver in combination with cross-correlation is used to enhance sensitivity and interference robustness while maintaining the sub-sampling advantages. An architecture which uses two different sampling frequencies is proposed. It shows ∼2dB SNR improvement compared to traditional architectures due to cross-correlation and an additional ∼2dB for each doubling of integrations. For a BER of 10– 3 , the required SIR is reduced with 4.5dB, 11.5dB and 14.5dB after using cross-correlation with the same, half and quarter data-rate used respectively. These improvements allow for a lower-power and lower-cost implementation.

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Mikhael MRM, Oude Alink MS, Kokkeler ABJ. A cross-correlation sub-sampling receiver for low power applications in a low SINR environment. In 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) . IEEE. 2018. p. 1108 https://doi.org/10.1109/IEMCON.2018.8614927