Modified Generalized Autocorrelation based Estimator for time delays in multipath environment – A tradeoff in estimator performance and number of multipath

In this paper, the existing Generalized Autocorrelation based Estimator (GAE) has been modified for estimation of time delays in multipath environment in the presence of uncorrelated noise. Here the multipath propagation output signal is modeled as a superposition of the delayed, attenuated, and filtered versions of the stationary Gaussian stochastic input signal. Accuracy Percentage (AP) performance measure has been used to characterize the performance of the estimators. The modified GAE performance has been compared, obtained both analytically and via simulation, with APCRLBAPCRLB the equivalent CRLB expressed in AP. Simulation results show that the performance of the proposed estimator improves with the increase in SNR but deteriorates with the increase in number of multipath.

Graphical abstractFigure optionsDownload full-size imageDownload as PowerPoint slideResearch highlights► We modify the existing GAE algorithm to include filtering effect in multipath channel. ► We apply running window to reduce noise effect. ► The modified GAE algorithm will improve accuracy and will also reduce computational complexity. ► The performance of modified GAE will improve with the increase in SNR and/or decrease in number of multipath.