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| Robust Burst Detection Based on the Average Likelihood Ratio Test |
| Huang Yuan-ling,Lu You-rong,Yuan Qiang |
| National Key Laboratory of Blind Signals Processing, Chengdu 610041, China |
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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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Received: 16 September 2008
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Corresponding Authors:
Huang Yuan-ling
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2010, Vol. 32 
