Blind Detection of Synchronous CDMA in Non-Gaussian Channels

Abstract

Abstract-Most blind source separation algorithms assume the channel noise to be Gaussian. This paper considers the problem of noncooperative blind detection of synchronous direct-sequence code-division multiple-access communications (no knowledge of the spreading sequences or training data) in non-Gaussian channels. Three iterative algorithms with different performance and complexity tradeoffs are proposed. Simulation results show that they significantly outperform Gaussian-optimal blind source separation algorithms in non-Gaussian channels. The Cramér-Rao lower bound for this problem is computed, and the performance of the proposed algorithms is shown to approach this bound for moderate signal-to-noise ratios.

Recursive Estimation of Biased Zero-Error Probability for Adaptive Systems under Non-Gaussian Noise

“…In indoor radio channels and underwater acoustic channels, the ambient noises are known to be non-Gaussian [2][3] [4]. In shallow water environment the channel conditions induces more complicated distortions and noise characteristics.…”

A Novel Recognition Method for Low SNR DSSS Signals Based on Four‐Order Cumulant and Eigenvalue Analysis

“…On the other hand, the spreading code has a sharp autocorrelation and cross correlation features, and the covariance matrix of the Additive white Gaussian noise (AWGN) is a weighted identity matrix [3] . Therefore, the influence of noise could be eliminated based on the idea of correlation receiving to achieve the interception of DSSS signal, and the recognition of parameters such as carrier frequency and period of spreading code [4] .…”

Performance Analysis of Downlink MIMO WCDMA Systems Using Antenna Selection in Transmitter and MRC Plus LDD in Receiver over Correlated Nakagami-Fading Channels

“…So, precoding techniques can not be applied. Furthermore, we give up the blind MUDs for their high computational complexities [11]. In this paper, we propose a low complexity pilot based channel estimation method for the joint estimation of the channel gains and the rows of the LDD operator in order to cancel out the MAI.…”