Paper
15 March 1994 Wavelet signal processing for radar target identification: a scale sequential approach
Anthony J. Devaney, Bulent Hisconmez
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Abstract
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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anthony J. Devaney and Bulent Hisconmez "Wavelet signal processing for radar target identification: a scale sequential approach", Proc. SPIE 2242, Wavelet Applications, (15 March 1994); https://doi.org/10.1117/12.170098
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Cited by 11 scholarly publications.
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KEYWORDS
Wavelets

Target recognition

Radar

Signal processing

Computer simulations

Binary data

Radar signal processing

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