Optimization for Rotating Thinned Array of Synthetic Aperture Radiometer
Sun Feng-lin①② Zhang Sheng-wei①
①(CAS Key Laboratory of Microwave Remote Sensing, Center for Space Science and Applied Research,Chinese Academy of Sciences, Beijing 100190, China) ②(University of Chinese Academy of Sciences, Beijing 100190, China)
Abstract：This paper proposes two novel objective functions and a new heuristic??optimization algorithm for rotating synthetic aperture passive imaging system which has non-uniform sampling scheme. Firstly, this paper introduces two objective functions named modified minimum electric charge energy and minimum error gridding, while the mostly used maximum baselines distance product objective function introduced by Cornwell will results in dense baseline distribution in centric and boundary area but sparse in the middle. To overcome the problem of updating global best position slowly, rising the risk of being trapped in local extremum by standard Particle Swarm Optimization (PSO), this paper introduces the novel Quantum-Goose Particle Swarm Optimization (QGPSO), which outperforms the existing method of global exploration efficiency and accuracy. Numerical simulations validate that these two functions provide more uniform radial baseline distribution and minimum error gridding objective function provides the most accurate reconstructed image. This method proposes reference for practical design and application of rotating thinned array.
2014, Vol. 36 
