Echo components for aspect-independent detection and classification

Data from a numerical target scattering model are described in the time and frequency domains. These echoes are separated into physics-based component s called wavepackets, which are aspect-dependent. These individual componen ts are made stochastic by the assumption of random aspect. Each physical co mponent is then decomposed with a statistically independent basis via the K arhunen-Loeve Expansion (KLE). It is shown that the echo is well described by a collection of a feu terms of the KLE, The statistically independent ex pansion amplitudes are then used to generate detection statistics.