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We present a novel angular fingerprinting algorithm for detecting changes inthe direction of rotation of a target with a monostatic, stationary sonarplatform. Unlike other approaches, we assume that the target's centroid isstationary, and exploit doppler multipath signals to resolve the otherwiseunavoidable ambiguities that arise. Since the algorithm is based on anunderlying differential topological theory, it is highly robust to distortionsin the collected data. We demonstrate performance of this algorithmexperimentally, by exhibiting a pulsed doppler sonar collection system thatruns on a smartphone. The performance of this system is sufficiently good toboth detect changes in target rotation direction using angular fingerprints,and also to form high-resolution inverse synthetic aperature images of thetarget.

Multipath-dominant, pulsed doppler analysis of rotating blades