论文信息 - Improved autofocusing of stepped-frequency ISAR images using new form of particle swarm optimisation

Improved autofocusing of stepped-frequency ISAR images using new form of particle swarm optimisation

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.

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