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

摘要

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 AP_(CRLB) 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.