This paper focuses on the spatial registration algorithm under the earth-center earth-fixed(ECEF)coordinate system for multiple mobile platforms.The sensor measurement biases are discussed with the attitude informatio...This paper focuses on the spatial registration algorithm under the earth-center earth-fixed(ECEF)coordinate system for multiple mobile platforms.The sensor measurement biases are discussed with the attitude information of the platform into consideration.First,the biased measurement model is constructed.Besides,the maximum likelihood registration(MLR)algorithm is discussed to simultaneously estimate the measurement biases and the target state.Finally,an improved online MLR(IMLR)algorithm is proposed through a sliding window of adaptive size.Simulation results demonstrate that the proposed IMLR algorithm effectively improves the realtime ability of the system and can approach similar estimation accuracy to the conventional MLR algorithm.展开更多
Liver cancer is a common and leading cause of cancer death in China.We used the cancer registry data collected from 2009 to 2011 to describe the spatial distribution of liver cancer incidence at village level in Sheng...Liver cancer is a common and leading cause of cancer death in China.We used the cancer registry data collected from 2009 to 2011 to describe the spatial distribution of liver cancer incidence at village level in Shengqiu county,Henan province,China.Spatial autocorrelation analysis was employed to detect significant differences from a random spatial distribution of liver cancer incidence.Spatial scan statistics were used to detect and evaluate the clusters of liver cancer cases.Spatial展开更多
基金the National Natural Science Foundation of China(No.61627810)the National Key Research and Development Program of China(No.2018YFB1305003)the Joint Fund of Advanced Aerospace Manufacturing Technology Research(No.2017-JCJQ-ZQ-031)。
文摘This paper focuses on the spatial registration algorithm under the earth-center earth-fixed(ECEF)coordinate system for multiple mobile platforms.The sensor measurement biases are discussed with the attitude information of the platform into consideration.First,the biased measurement model is constructed.Besides,the maximum likelihood registration(MLR)algorithm is discussed to simultaneously estimate the measurement biases and the target state.Finally,an improved online MLR(IMLR)algorithm is proposed through a sliding window of adaptive size.Simulation results demonstrate that the proposed IMLR algorithm effectively improves the realtime ability of the system and can approach similar estimation accuracy to the conventional MLR algorithm.
基金supported by research grants form 12th five years plan of National Science and Technology Infrastructure Program(2013BAI12B03)11th five years plan of National Science and Technology Infrastructure Program(2006BAI19B03)
文摘Liver cancer is a common and leading cause of cancer death in China.We used the cancer registry data collected from 2009 to 2011 to describe the spatial distribution of liver cancer incidence at village level in Shengqiu county,Henan province,China.Spatial autocorrelation analysis was employed to detect significant differences from a random spatial distribution of liver cancer incidence.Spatial scan statistics were used to detect and evaluate the clusters of liver cancer cases.Spatial
