Channel Estimation in DS-CDMA System based on Quantum Constraints

A system model for DS-CDMA (Direct Sequence Code Division Multiple Access) is described in its basic form and performance measure based on Mean Square Error (MSE) and Symbol Error Rate (SER) under Additive White Gaussian Noise is performed. For measuring the performance of DS-CDMA receivers, the channel estimate plays for a crucial role and hence the channel estimation for DS-CDMA is considered. We describe the channel estimation based on the time domain channel statistics, using a general model for a slow fading channel. The investigation on the performance of Least Square estimator (LS) and Minimum Mean Square Error estimator (MMSE) in asynchronous DS-CDMA linear receiver is studied. The investigation studies the effect of MSE and SER with different modulation scheme employed in it and their analysis of modulated effect are taken into comparison. The result shows that the proposed MMSE channel estimator, exhibiting the best trade-off between LS and MMSE estimation error components.