Blind Estimation of the Pseudo-random Sequences of Direct Sequence Spread Spectrum Signals in Multi-Path Using Fast ICA
Circuits, Communications and Systems, Pacific-Asia Conference on (2009)
May 16, 2009 to May 17, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PACCS.2009.75
Spread spectrum signals are now widely used for secure communications, as well as for multiple access interference (MAI). They have many interesting properties, including low probability of interception. Indeed, DS/SS transmitters use a periodical pseudo-random sequence to modulate the baseband signal before transmission. A receiver which does not know the sequence can not demodulate the signal. Blind estimation of m-sequence is only discussed openly in the situation without multi-path interference and MAI so far. In this paper, we use the independent component analysis (ICA) to separate the data bits transmitted by different users in multi-path, and then identify m-sequence according to the triple correlation function (TCF) of m-sequence. The performance of this blind estimation is analyzed under Gaussian noise. Illustrative simulation examples are provided at last.
ICA, PCA, TCF, DS-CDMA, m-sequence
S. Lei and Z. Zhijing, "Blind Estimation of the Pseudo-random Sequences of Direct Sequence Spread Spectrum Signals in Multi-Path Using Fast ICA," 2009 Pacific-Asia Conference on Circuits, Communications and Systems (PACCS 2009)(PACCS), Chengdu, 2009, pp. 531-535.