Short-data-record filtering of PN-masked data

Pseudo-noise (PN) masking is regarded as an effective means to combat data eavesdropping (for example in military-grade communications or positioning systems). At the same time, PN-masked data transmissions are considered vulnerable to interference/jamming due to lack of practical interference suppression solutions. In this work, (i) we derive an efficient minimum-mean-square-error (MMSE) optimal linear receiver of PN-masked data and (ii) develop an auxiliary-vector (AV) MMSE adaptive filter estimator with state-of-the-art small-sample-support estimation performance. Simulation studies included in this paper illustrate the effectiveness of the theoretical developments.