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出 处:《计算机应用研究》2015年第4期1065-1068,1073,共5页Application Research of Computers
基 金:国家"十二五"民用航天专业技术预先研究项目;国家自然科学基金资助项目(61103144;60873107);中国博士后科学基金资助项目(2012T50681;2012M511301;2011M501260);湖北省自然科学基金资助项目(2013CFB406;2011CDB348);中央高校基本科研业务费专项资金资助项目(CUG120114)
摘 要:计算星座区域覆盖率的传统网格点法耗时长、计算效率低。基于抽样理论,提出了一种基于抽样的网格点仿真方法,并给出了两种不同类型精度要求下覆盖率计算的方法。同时,提出了误差估计方法,可以定量地根据置信度以及精度需求去调整网格大小,合理地控制误差与计算时间,避免了盲目调整导致的资源浪费。最后进行了仿真实验。实验结果表明,把抽样方法应用于网格点法之中是可行的也是有效的。而且,通过与传统的网格点计算方法相比,在不降低计算精度的前提下,抽样网格点法的计算效率可提高81倍,显著改善了区域覆盖的计算效率。The conventional grid-point approach for calculating regional coverage of satellite constellation is time-consuming and inefficient. Based on sampling theory,this paper proposed a sampling grid-point simulation approach,and presented sampling grid-point approach for calculating coverage in two different types of accuracy requirements. Moreover,it proposed the error estimation approach for calculating coverage,which made it possible to quantitatively adjust the grid size to control the computing time and calculation error according to confidence and accuracy requirements and avoid resource waste due to aimless adjustment. Simulation results show that apply the sampling approach to the grid-point approach is feasible and effective.In addition,compared with traditional grid-point approach,the computational efficiency of the proposed algorithm is 81 times faster without decreasing the computational accuracy,which significantly improves the computational efficiency of regional coverage.
分 类 号:TP391.9[自动化与计算机技术—计算机应用技术]
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