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Wavelet signal processing for radar target identification: a scale sequential approach

The problem of identifying a target from noisy high-range- resolution (HRR) data is addressed for the case of large radar target signature databases. The problem is treated using a general formulation of the problem of M-ary target identification in the presence of additive white Gaussian noise. A multiresolution analysis of the data and signature database relative to a discrete orthonormal wavelet basis is employed and shown to lead to a scale-sequential identification algorithm that has the property of making an identification having prespecified detection probabilities with the minimum number of computations. The general formulation is outlined and a computer-simulated example of target identification using the procedure is presented and discussed.