ABSTRACT
This paper focuses on the design of a multi-user receiver structure for the reverse link of a
Wideband Code-Division Multiple-Access (WCDMA) communication system. The
detection is based on a ML-based channel estimation algorithm. Once a composite Channel
Impulse Response (CIR) of each user is estimated, it is directly used in the detection
process instead of first extracting the individual channel parameters, such as path delays
and attenuation factors. The paper presents a framework that facilitates a computationally
efficient solution to the combined problem of channel estimation and detection in a multiuser
multi-path environment. The performance of the different detectors is evaluated in
terms of bit error probability using the estimated composite CIR.