Blind estimation of signal in periodic long-code DSSS communications
SARNOFF'09 Proceedings of the 32nd international conference on Sarnoff symposium
Invariant detection for short-code QPSK DS-SS signals
Signal Processing
Invariant detection for QPSK DS-SS signals
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Time variant genetic algorithm assisted code estimation for spread spectrum systems
MUSP'06 Proceedings of the 6th WSEAS international conference on Multimedia systems & signal processing
Blind estimation of the PN sequence in lower SNR DS-SS signals with residual carrier
Digital Signal Processing
Novel nonlinear signals separation of optimized entropy based on adaptive natural gradient learning
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
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Self-recovering receivers for direct-sequence spread-spectrum signals with unknown spreading codes are discussed in this paper. Applications include signal interception, jamming, and low probability of intercept (LPI) communications. A multirate/multichannel, discrete-time model of the spread spectrum signal is introduced, which establishes links with array processing techniques. Borrowing blind channel estimation ideas, which were originally developed in the context of fractionally spaced equalizers or receivers with multiple antennas, linear solutions are obtained that are independent of the input distribution. The signal interception problem is further studied, and a zero-forcing (ZF) receiver/equalizer is proposed to recover the transmitted data. Its performance is analyzed, and some illustrative simulations are presented