Downsampling Direct Sequence Spread Spectrum Signal Using Orthogonal Pretreatment
2014 ◽
Vol 610
◽
pp. 944-948
Keyword(s):
The Direct Sequence Spread Spectrum (DSSS) signal is widely used because of its good concealment and anti-jamming performance. The Compressive Sensing (CS) theory reduced the sampling rate of the DSSS signal effectively compared with the traditional Nyquist-rate sampling theory. While in the process of CS sampling the sensing matrix and the sparse basis generally have a strong correlation when the DSSS signal is decomposed with a complete dictionary. This paper presents a novel orthogonal pretreatment method with which the incoherence between sensing matrix and sparse basis can be improved. As a result, the reconstructed signal is more accurate. Simulation results demonstrate that this method is effective and efficient.
2008 ◽
Vol E91-B
(1)
◽
pp. 267-273
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2012 ◽
Vol 195-196
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pp. 181-185
2012 ◽
Vol 10
(6)
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2014 ◽
Vol 716-717
◽
pp. 1252-1256
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2013 ◽
Vol 846-847
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pp. 592-595
2019 ◽
Vol 2
(2)
◽
pp. 129-138
Keyword(s):
Keyword(s):