Performance analysis of Cross Ambiguity Function — Direction Finding technique in multipath environments

In this paper, recently proposed cross ambiguity function - direction finding (CAF-DF) array signal processing technique, which make use of the cross ambiguity function calculation, is compared with the multiple signal classification (MUSIC) and space alternating generalized expectation maximization (SAGE) techniques. The CAF-DF estimates direction of arrival (DOA), time delay, Doppler shift and amplitude corresponding to each impinging signal onto a sensor array in an iterative manner. Performances of the algorithms are tested on synthetic signals in terms of root mean squared error (rMSE) for different signal-to-noise ratio (SNR) values based on Monte Carlo trials. For statistical comparisons Cramer-Rao lower bound is included. Obtained results show that CAF-DF technique is superior to its alternatives for medium and low SNR values.