Image-Based RCS Estimation from Near-Field Data

This paper deals with the problem of estimating the RCS from near-field data by image-based approaches. In particular, a rigorous focusing procedure based on a weighted adjoint scheme, which is also applicable to an arbitrary measurement curve, is developed. The developed formalism allows us to address the important question concerning the need to employ a multi-frequency configuration to estimate the RCS. Accordingly, it is shown that if RCS is required at a given frequency, then the target image obtained solely at such a frequency can be exploited provided that the spatial truncation arising from the size of the investigated area is properly taken into account.

# Photography # Computer applications to medicine. Medical informatics # Electronic computers. Computer science # RCS estimation # image-based approach # adjoint inversion methods

Tushar Rajvanshi, Maria Antonia Maisto, Angela Dell’Aversano, et al. (2019). "Image-Based RCS Estimation from Near-Field Data". Journal of Imaging. https://doi.org/10.3390/jimaging5060061