2019
DOI: 10.3390/s19020354
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Blind Estimation of the PN Sequence of A DSSS Signal Using A Modified Online Unsupervised Learning Machine

Abstract: Direct sequence spread spectrum (DSSS) signals are now widely used in air and underwater acoustic communications. A receiver which does not know the pseudo-random (PN) sequence cannot demodulate the DSSS signal. In this paper, firstly, the principle of principal component analysis (PCA) for PN sequence estimation of the DSSS signal is analyzed, then a modified online unsupervised learning machine (LEAP) is introduced for PCA. Compared with the original LEAP, the modified LEAP has the following improvements: (1… Show more

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Cited by 12 publications
(4 citation statements)
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“…Cross-correlation properties shown in the Figure 2. Where this code differs from the rest of the other code in this regard, and this distinguishes it in the protection of information [22], [23], as well as in terms of complexity and in the transmission of one of the most secure signals in the communication system.…”
Section: Gold Sequencementioning
confidence: 99%
“…Cross-correlation properties shown in the Figure 2. Where this code differs from the rest of the other code in this regard, and this distinguishes it in the protection of information [22], [23], as well as in terms of complexity and in the transmission of one of the most secure signals in the communication system.…”
Section: Gold Sequencementioning
confidence: 99%
“…When there is a bit delay, the correlation value is very low and means the sequences have no periodicity. Thus, we can solve the predictability and periodicity problems of the pseudo random sequence and improve the security performance by adopting the chaotic sequence [48]- [51]. The low value in all bit delays mean that a completely different sequence is generated even with a small change in one of the initial values.…”
Section: ) Chaotic Random Sequencementioning
confidence: 99%
“…Neuron network (NN) also offer an effective method for obtaining the PN sequence. By adopting the constant modulus property or Hebbian criterion for the objective function, the PN sequence can be achieved through a trained NN [26].…”
Section: Introductionmentioning
confidence: 99%