Title :
Improved autofocusing of stepped-frequency ISAR images using new form of particle swarm optimisation
Author :
Park, Sang Ho ; Kim, Hong Tak ; Kim, Kyung Tae
Author_Institution :
E.E.E., Pohang Univ. of Sci. & Technol., Pohang, South Korea
Abstract :
An autofocusing method is proposed to compensate for the inter-pulse phase errors in stepped-frequency ISAR imaging. A genetic algorithm, particle swarm optimisation (PSO), and a combination of PSOs (CPSO) model were applied and compared with the existing subarray averaging and entropy minimisation method. In simulations using measured data, CPSO gave the most accurate and stable results.
Keywords :
genetic algorithms; minimisation; particle swarm optimisation; radar imaging; synthetic aperture radar; autofocusing method; entropy minimisation method; genetic algorithm; interpulse phase errors; particle swarm optimisation; stepped-frequency ISAR images; subarray averaging;
Journal_Title :
Electronics Letters
DOI :
10.1049/el.2009.1484
