NDLI: A new packet detection algorithm for IEEE 802.15.4a DBO-CSS in AWGN channel

Content Provider	IEEE Xplore Digital Library
Author	Seong-hyun Jang Sang-hun Yoon Jong-wha Chong
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Hanyang Univ., Seoul (Seong-hyun Jang; Sang-hun Yoon; Jong-wha Chong)
Abstract	In this paper, we propose a new packet detection algorithm for differentially bi-orthogonal chirp-spread-spectrum (DBO-CSS) over multiple piconets. Because of the band hopping property of the DBO-CSS, the conventional packet detection algorithms based on auto-correlation cannot avoid side band noise. And the conventional algorithms employed in DBO-CSS systems are not performed well over simultaneously operating piconets (SOP) because they did not consider the waveforms of signal. First, the proposed detector includes matched filters to eliminate the side band noise and to make SNR at the end of matched filters maximal. Second, the proposed detector also includes auto-correlators in order to make outputs of matched filters inphase. Finally, the proposed detector gathers the energy of all sub-chirps and employs the Permutator in order to operate regardless of piconet. Simulation results show that we can detect packets by using the proposed algorithm compared with the conventional one in about -4 dB SNR with the same miss detection probability and the false alarm probability between them.
Starting Page	1020
Ending Page	1023
File Size	216837
Page Count	4
File Format	PDF
ISBN	9781424416837
DOI	10.1109/ISCAS.2008.4541594
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Detection algorithms AWGN channels Personal area networks Detectors Matched filters Additive white noise Gaussian noise Chirp Autocorrelation Signal to noise ratio matched filter packet detection DBO-CSS
Content Type	Text
Resource Type	Article

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