Implementation of Spread Spectrum Modulation Schemes for Secure Communications

P, Anand Krisshna; Aswini, B; Nair, Sreehari S; Gopika, P A; Narayanan, Gayathri

doi:10.1109/iccs45141.2019.9065811

Cited by 1 publication

(1 citation statement)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Direct sequence spread spectrum (DSSS) signals which multiply low-rate data signals by high-rate pseudo-noise (PN) sequences to expand bandwidth and reduce power spectral density (PSD) have been widely used in recent decades for secure communication due to their low probability of intercept (LPI) and anti-jamming characteristics [1,2]. Now, it is further used in radar, satellite communications, mobile communications, speed and distance measurement, navigation and tracking, and many other fields [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

A Tensor-Based Approach to Blind Despreading of Long-Code Multiuser DSSS Signals

Liang

Zhang

et al. 2023

Electronics

View full text Add to dashboard Cite

In this paper, a tensor-based approach to blind despreading of long-code multiuser DSSS signals is proposed. We aim to generalize the tensor-based methods originally developed for blind separation of short-code multiuser DSSS signals to long-code cases. Firstly, we model the intercepted long-code multiuser DSSS signals with an antenna-array receiver as a three-order tensor with missing values, and then, the blind separation problem can be formulated as a canonical or parallel factor (CANDECOMP/PARAFAC) decomposition problem of the missing-data tensor, which can be solved using optimum methods. Secondly, a constrained Cramér–Rao Bound (CRB) is also derived to provide a performance benchmark for the proposed approach. Simulation results verify the feasibility of our proposed approach in the case of low signal-to-noise (SNR) conditions.

show abstract