Acoustic Source Estimation with Doppler Processing
نویسندگان
چکیده
A statistical analysis of differential Doppler estimation is presented that includes the particular features found in aeroacoustic signals from ground vehicles, namely a sum-of-harmonics signal that is randomly scattered by the atmosphere. We use a physics-based statistical model for the scattering to derive the Cramér-Rao bound (CRB) on differential Doppler estimation as a function of the atmospheric conditions, the frequency of the source, and the range of the source. We evaluate the CRB for several cases of interest, and we compare the performance of algorithms with the CRB. We show with measured aeroacoustic data that differential Doppler can be estimated with accuracy that is comparable to the CRB.
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