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Volume 32 Issue 5
May  2010
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An Jin-kun, Tian Bin, Sun Yong-jun, Yi Ke-chu, Yu Quan. An Algorithm for Direct Sequence Spread Spectrum Signal Detection Based on Intrinsic Time-scale Decomposition[J]. Journal of Electronics & Information Technology, 2010, 32(5): 1178-1182. doi: 10.3724/SP.J.1146.2009.00587
Citation: An Jin-kun, Tian Bin, Sun Yong-jun, Yi Ke-chu, Yu Quan. An Algorithm for Direct Sequence Spread Spectrum Signal Detection Based on Intrinsic Time-scale Decomposition[J]. Journal of Electronics & Information Technology, 2010, 32(5): 1178-1182. doi: 10.3724/SP.J.1146.2009.00587

An Algorithm for Direct Sequence Spread Spectrum Signal Detection Based on Intrinsic Time-scale Decomposition

doi: 10.3724/SP.J.1146.2009.00587 cstr: 32379.14.SP.J.1146.2009.00587
  • Received Date: 2009-04-24
  • Rev Recd Date: 2009-11-23
  • Publish Date: 2010-05-19
  • Intrinsic Time-scale Decomposition(ITD) algorithm is a kind of local wave analysis algorithm. In this paper, Direct Sequence Spread Spectrum (DSSS) signal is decomposed by ITD and a fast algorithm for detecting the chip rate and carrier frequency of direct spread spectrum signal is proposed according to coarse search and elaborate search in frequency domain separately. This method is based on the parameter of instant amplitude,where the signal is firstly low-pass filtered by a cut-off frequency and the noise is then eliminated by an incidental frequency. High time-frequency resolution and fast calculation speed of ITD algorithm are used in this algorithm. Simulation results show that this algorithm can detect chip rate and carrier frequency effectively when SNR is of -15dB.
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