Time delay estimation of a random signal observed at two spatially separated sites is a problem of considerable practical interest. Radio-frequency (RF) signals pose a difficulty that does not arise while treating sonar or other low frequency signals: The signal processing can be performed only on low frequency versions of the observed signals. We propose an estimation scheme, based on complex envelopes, the mean square error (MSE) of which achieves the performance predicted by Barankin, Bellini-Tartara, and Weiss-Weinstein lower bounds. The proposed scheme was tested by extensive computer simulations, and the results are in close agreement with theory predictions. Moreover, a real-time hardware implementation of the algorithm was developed and tested successfully using real RF signals.
|Number of pages||5|
|Journal||IEEE Transactions on Aerospace and Electronic Systems|
|State||Published - Nov 1987|