Comparison of the CAF-DF and SAGE algorithms in multipath channel parameter estimation

In this paper, performance of the recently proposed cross ambiguity function - direction finding (CAF-DF) technique is compared with the space alternating generalized expectation maximization (SAGE) technique. The CAF-DF, iteratively estimates direction of arrival (DOA), time-delay, Doppler shift and amplitude corresponding to each impinging signal onto an antenna array by utilizing the cross ambiguity function. On synthetic signals, based on Monte Carlo trials, performances of the algorithms are tested in terms of root mean squared error (rMSE) at different signal-to-noise ratios (SNR). Cramer-Rao lower bound is included for statistical comparisons. Simulation results indicate the superior performance of the CAF-DF technique over SAGE technique for low and medium SNR values.