Blind despreading of WCDMA signals

Zhao, Zhijin; Gu, Xiaowei; Shen, Lianfeng; Zhan, Yi

doi:10.1109/icosp.2014.7014964

Cited by 4 publications

(4 citation statements)

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“…As the scrambling code in the signal model is m-sequence, there must be some obvious peaks in * ( , ) . Finally, the methods in [14] and [15] are used to descramble the signal and estimate all users' spreading code.…”

Section: B Pn Sequences Estimation Based On Triplementioning

confidence: 99%

“…iM ) according to equation (13), and the corresponding 1 () t n  can also be obtained by equation (14).…”

Section: The Main Steps Of the Proposed Algorithmmentioning

confidence: 99%

“…Step 7, use the method in reference [15] to descramble the signal and estimate all the spreading codes by applying the method in reference [14].…”

Section: The Main Steps Of the Proposed Algorithmmentioning

confidence: 99%

“…Tripe correlation theory is insensitive to the loss of signal features [11], and can reveal more information compared with second-order statistics, thus it has received worldwide attention from researchers. Nowadays, the spreading code estimation methods of DSSS signals based on triple correlation theory have been well studied [12], [13], and there are also some research results published on the PN sequences estimation methods of LSC-DSSS signals using third-order statistics [14]- [18].…”

mentioning

confidence: 99%

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Blind Estimation of PN Codes in Multi-user LSC-DSSS Signals

Zhao¹,

Gu²,

Qiang³

et al. 2017

JCM

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Aiming at the problem of blind estimation of Pseudo-random (PN) sequences in multiuser long scrambling code direct sequence spread spectrum (LSC-DSSS) signals, in this paper, we proposed a novel PN sequences estimation method based on Fast-ICA algorithm and third-order statistics. The received signal is firstly divided twice into segments and then the segments are transformed into several array signal block matrixes based on the periodicities of scrambling codes and spreading codes. Every user's PN sequence is separated segment-by-segment using Fast-ICA algorithm, and those segments are assembled sequentially into fuzzy sequences. Finally, all the scrambling codes and spreading codes are estimated from the fuzzy sequences based on the triple correlation properties of m-sequences. The simulation results show the excellent performance of the proposed method.

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Section: B Pn Sequences Estimation Based On Triplementioning

confidence: 99%

“…iM ) according to equation (13), and the corresponding 1 () t n  can also be obtained by equation (14).…”

Section: The Main Steps Of the Proposed Algorithmmentioning

confidence: 99%

“…Step 7, use the method in reference [15] to descramble the signal and estimate all the spreading codes by applying the method in reference [14].…”

Section: The Main Steps Of the Proposed Algorithmmentioning

confidence: 99%

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confidence: 99%

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