A tracking mode receiver for joint channel estimation and detection of asynchronous CDMA signals

A tracking mode receiver for asynchronous CDMA is presented based on the extended Kalman filter (EKF). The EKF updates the delays and complex amplitudes of the received CDMA waveforms, and provides a modified minimum mean-square error (MMSE) estimate of the user data. In order to obtain a practical algorithm, each user signal is tracked individually, with the remaining users modeled as colored Gaussian noise. However, the EKFs are coupled through the multiple access interference (MAI) covariance estimates. The performance of the EKF tracking receiver is evaluated through a combination of simulation and bit-error rate (BER) analysis.