TY - JOUR AU - Sayadi, Bessem AU - Marcos, Sylvie PY - 2005 DA - 2005/04/20 TI - A Network of Kalman Filters for MAI and ISI Compensation in a Non-Gaussian Environment JO - EURASIP Journal on Advances in Signal Processing SP - 134082 VL - 2005 IS - 5 AB - This paper develops a new multiuser detector based on a network of kalman filters (NKF) dealing with multiple access-interference (MAI), intersymbol Interference (ISI), and an impulsive observation noise. The two proposed schemes are based on the modeling of the DS-CDMA system by a discrete-time linear system that has non-Gaussian state and measurement noises. By approximating the non-Gaussian densities of the noises by a weighted sum of Gaussian terms and under the common MMSE estimation criterion, we first derive an NKF detector. This version is further optimized by introducing a feedback exploiting the ISI interference structure. The resulting scheme is an NKF detector based on a likelihood ratio test (LRT). Monte-Carlo simulations have shown that the NKF and the NKF based on LRT detectors significantly improve the efficiency and the performance of the classical Kalman algorithm. SN - 1687-6180 UR - https://doi.org/10.1155/ASP.2005.635 DO - 10.1155/ASP.2005.635 ID - Sayadi2005 ER -