Abstract | ||
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In the context of secure wireless communications, pseudo-noise (PN) masking of transferred data has proven to be an effective technique against eavesdropping (notable examples are military-grade communication and global-positioning systems). At the same time, PN-masked transmissions are thought to be vulnerable to interference/jamming due to lack of a minimum-mean-square-error (MMSE) disturbance suppressing solution. In this paper, for the first time we establish the MMSE operation for masked data in the form of a time (mask) varying linear filter, suggest an implementation that avoids repeated input autocorrelation matrix inversion, and develop an auxiliary-vector (AV) MMSE filter estimator with state-of-the-art short-data-record estimation performance. Simulation examples included herein illustrate the theoretical developments. |
Year | DOI | Venue |
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2013 | 10.1109/TCOMM.2013.043013.120643 | IEEE Transactions on Communications |
Keywords | Field | DocType |
data communication,estimation theory,interference suppression,jamming,least mean squares methods,pseudonoise codes,spread spectrum communication,telecommunication security,time-varying filters,MMSE filter estimator,PN masked data transmission,auxiliary vector filter,eavesdropping,interference suppression,jamming,minimum mean square error,pseudonoise,short data record estimation performance,time varying linear filter,wireless communication security,Adaptive filtering,auxiliary-vector filtering,global-positioning systems,interference suppression,long-coded code-division,pseudo-noise masking,secure communications,spread-spectrum communications | Linear filter,Masking (art),Computer science,Control theory,Autocorrelation matrix,Electronic engineering,Interference (wave propagation),Estimation theory,Jamming,Estimator,Spread spectrum | Journal |
Volume | Issue | ISSN |
61 | 7 | 0090-6778 |
Citations | PageRank | References |
2 | 0.36 | 13 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Panos P. Markopoulos | 1 | 2 | 0.36 |
Sandipan Kundu | 2 | 40 | 4.49 |
Dimitris Pados | 3 | 208 | 26.49 |