{'fraction_non_alphanumeric': 0.027196652719665274, 'fraction_numerical': 0.028242677824267783, 'mean_word_length': 5.934782608695652, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 1, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Adaptive sampling cubic‐spline interpolation method for efficient calculation of monostatic RCS

An adaptive strategy is combined with the cubic‐spline interpolation method in this article to efficiently calculate the scattering from electrically large objects. The cubic‐spline interpolation method is used to approximate the monostatic radar crosssection (RCS) curve on a set of nonuniform sampling nodes and the adaptive strategy is employed to generate new sampling points automatically. Unlike asymptotic waveform evaluation method, the derivatives are not required for the novel interpolation method. Numerical results demonstrate that the proposed method is able to rigorously approximate the result with less computation time when compared with conventional interpolation methods. © 2008 Wiley Periodicals, Inc. Microwave Opt Technol Lett 50: 751–755, 2008; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.23211