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A two-step MF signal acquisition method for wireless underground sensor networks
Author(s) -
Wei Liang,
Yong Xie,
Xuhui Chen,
Osama Hosam,
Xiaohong Chen
Publication year - 2016
Publication title -
computer science and information systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.244
H-Index - 24
eISSN - 2406-1018
pISSN - 1820-0214
DOI - 10.2298/csis160224019l
Subject(s) - computer science , signal (programming language) , data acquisition , wireless , process (computing) , signal to noise ratio (imaging) , power consumption , filter (signal processing) , noise (video) , power (physics) , matched filter , real time computing , bit error rate , algorithm , telecommunications , artificial intelligence , decoding methods , computer vision , programming language , physics , quantum mechanics , image (mathematics) , operating system
Signal acquisition plays a critical role on the bit error rate (BER) of a direct sequence spread spectrum (DS/SS) communication system working with low frequency. In this paper, we propose a new signal acquisition method. The acquisition process includes coarse matched filter (MF) location in the first stage and an accurate MF acquisition as a verification mode for the second stage. The performance metrics, including mean acquisition time (MAT) and power consumption, are accuracy. The results indicate that when the signal-to-noise ratio (SNR) keeping consistent, the MAT of the proposed method is less than the original one. When the SNR is around -5dB, the system mismatch rate is about 5:6 x 10-4, which takes only one percent of those achieved in the original acquisition algorithms. The two-step MF acquisition method is stable except its power consumption being a little higher than the original method.

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