Target identification with wave-based matched pursuits and hidden Markov models

The method of matched pursuits is an algorithm by which a waveform is parse d into its fundamental constituents here, in the context of short-pulse ele ctromagnetic scattering, wavefronts, and resonances (constituting what we h ave called wave-based matched pursuits). The wave-based matched-pursuits al gorithm is used to develop a codebook of features that are representative o f time-domain scattering from a target of interest, accounting for the vari ability of such as a function of target-sensor orientation. This codebook i s subsequently used in the contest of a hidden Markov model (HMM) in which the probability of measuring a particular codebook element is quantified as a function of target-sensor orientation, We review the wave-based matched- pursuits algorithm and its use in the context of an HMM (for target identif ication). Finally, this new wave-based signal processing algorithm is demon strated with simulated scattering data, with additive noise.