An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
Signal processing with alpha-stable distributions and applications
Signal processing with alpha-stable distributions and applications
Robust techniques for wireless communications in non-gaussian environments
Robust techniques for wireless communications in non-gaussian environments
Statistically-efficient filtering in impulsive environments: weighted myriad filters
EURASIP Journal on Applied Signal Processing
IEEE Transactions on Signal Processing
Fast algorithms for weighted myriad computation by fixed-pointsearch
IEEE Transactions on Signal Processing
Optimality of the myriad filter in practical impulsive-noiseenvironments
IEEE Transactions on Signal Processing
Robust adaptive spread-spectrum receiver with neural net preprocessing in non-Gaussian noise
IEEE Transactions on Neural Networks
A novel adaptive lattice filtering algorithm for alpha-stable processes
Digital Signal Processing
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The problem of impulsive noise suppression for direct-sequence code-division multiple-access (DS-CDMA) systems employing multiuser detection in impulsive channels is treated. Prior to the detector, linear chip-matched filter is commonly used for continuous-to-discrete-time conversion. The effects of the non-Gaussian impulsive channel in an asynchronous system are studied by modeling the samples of noise before front-end filtering as a symmetric @a-stable process. The error probability performance of the linear correlation receiver under these conditions is compared to that for additive white Gaussian noise (AWGN) channels. It is found that the approach performs poorly in the presence of impulsive noise. To overcome this problem, an impulse mitigation strategy derived from the myriad filtering framework is employed to produce reliable soft channel outputs over a wide range of noise characteristics. The asymptotic error probability performance of the chip-matched myriad filter (CMMyF)-based receivers is then computed and compared to the computer simulated expression. The results show that, in contrast to the linear filter, the CMMyF is effective in removing the impulsive noise and leads to a reliable recovery of the desired chips with low estimation error. The proposed method proves to be fruitful in that the subsequent k-opt multiuser detector is safe to process the chip samples obtained hereafter, thereby retaining all its optimality and advantages.