International Journal of Applied Mathematics, Computational Science and Systems Engineering
E-ISSN: 2766-9823
Volume 8, 2026
High Resolution ISAR Using Adaptive Filtering and Stochastic Calculus
Author:
Search Articles
Abstract: We study the case of two or more closely spaced reflectors of a moving target (the distance between
the reflectors is less than the Fourier transform resolution). This is a common problem in synthetic aperture
Radar (SAR) and inverse SAR (ISAR). We use adaptive noise canceling to find the sinusoid (representing
small reflector) that is obscured by the sinusoid of the dominant reflector. Moreover the echo phase, of ISAR, is
modeled to have an additive Wiener process that represents the error in the target Doppler shift equation. The
maximum likelihood method of Girsanov theory is used to find the parameters of the recovered small signal.
Keywords:
Inverse synthetic aperture Radar (ISAR), High resolution Radar, Adaptive noise cancelling, Stochastic calculus, Girsanov theory, Maximum likelihood estimation
Pages: 60-71
DOI: 10.37394/232026.2026.8.5