MSE tracking performance of DS/SS code tracking scheme using an FIR adaptive filter

The authors investigate the mean-square error (MSE) tracking performance of a DS/SS code tracking system based on an adaptive filtering technique proposed earlier. The ability of this scheme to track a fast linearly changing delay and delay changing in a random walk model is presented. It is shown that the proposed scheme outperforms the maximum likelihood estimator (MLE) by ~4 dB. Also, the MSE results indicate that a filter with small number of taps is recommended during tracking. This supports the conclusions made previously which was based on the mean hold in time performance of the system