Robust Burst Detection Based on the Average Likelihood Ratio Test

Huang Yuan-ling; Lu You-rong; Yuan Qiang

doi:10.3724/SP.J.1146.2008.01157

Volume 32 Issue 2

Aug. 2010

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Article Navigation > Journal of Electronics & Information Technology > 2010 > 32(2): 345-349

Huang Yuan-ling, Lu You-rong, Yuan Qiang. Robust Burst Detection Based on the Average Likelihood Ratio Test[J]. Journal of Electronics & Information Technology, 2010, 32(2): 345-349. doi: 10.3724/SP.J.1146.2008.01157

Citation:

Huang Yuan-ling, Lu You-rong, Yuan Qiang. Robust Burst Detection Based on the Average Likelihood Ratio Test[J]. Journal of Electronics & Information Technology, 2010, 32(2): 345-349. doi: 10.3724/SP.J.1146.2008.01157

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Robust Burst Detection Based on the Average Likelihood Ratio Test

doi: 10.3724/SP.J.1146.2008.01157

Received Date: 2008-09-16
Rev Recd Date: 2009-11-27
Publish Date: 2010-02-19

Abstract

Abstract

Burst detection plays a crucial role for burst-mode demodulation, which helps the acquisition and synchronization of data bursts. Most conventional Data-Aided (DA) burst detection approaches demands timing, and the performance degrades severely in the presence of frequency offset. This paper proposes a burst detection algorithm based on the Average-Likelihood-Ratio-Test (ALRT) for over-sampled modulated signals with timing uncompleted. The proposed algorithm outperforms the previously proposed algorithms and is robust to the frequency offset. Furthermore, the dependence of false alarm rate on SNR is slight.

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References

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