This work was supported by the National Natural Science Foundation of China (Grant Nos. 51205031, 51505449) and the National Research Foundation of Korea (Grant Nos. 2016R1A2B4013953, 2016M2A2A9A03913683).
机构署名：
本校为第一且通讯机构
院系归属：
汽车与机械工程学院
摘要：
This paper introduces a sparse total focus method (TFM) as a viable solution to the trade -off between the imaging precision and computational efficiency. A corrected two-layer TFM algorithm is first established; then the element layout in the sparse arrays is optimized by the genetic algorithm to improve the spatial resolution and contrast resolution. Using the effective aperture theory, the weighting functions of the optimized sparse array elements are investigated, and the corrected sparse-TFM algorithm is developed. Experiments are conducte...
