The spoofing capability of Global Navigation Satellite System(GNSS)represents an important confrontational capability for navigation security,and the success of planned missions may depend on the effective evaluation ...The spoofing capability of Global Navigation Satellite System(GNSS)represents an important confrontational capability for navigation security,and the success of planned missions may depend on the effective evaluation of spoofing capability.However,current evaluation systems face challenges arising from the irrationality of previous weighting methods,inapplicability of the conventional multi-attribute decision-making method and uncertainty existing in evaluation.To solve these difficulties,considering the validity of the obtained results,an evaluation method based on the game aggregated weight model and a joint approach involving the grey relational analysis and technique for order preference by similarity to an ideal solution(GRA-TOPSIS)are firstly proposed to determine the optimal scheme.Static and dynamic evaluation results under different schemes are then obtained via a fuzzy comprehensive assessment and an improved dynamic game method,to prioritize the deceptive efficacy of the equipment accurately and make pointed improvement for its core performance.The use of judging indicators,including Spearman rank correlation coefficient and so on,combined with obtained evaluation results,demonstrates the superiority of the proposed method and the optimal scheme by the horizontal comparison of different methods and vertical comparison of evaluation results.Finally,the results of field measurements and simulation tests show that the proposed method can better overcome the difficulties of existing methods and realize the effective evaluation.展开更多
针对未配备气象传感器的全球卫星导航系统(GNSS)站缺乏实测气象参数,通常利用再分析数据、经验模型替代反演大气可降水量(PWV)的问题,定量分析地面气压(P)和加权平均温度(Tm)在反演PWV中的适用性:利用欧洲中期天气预报中心(ECMWF)发布...针对未配备气象传感器的全球卫星导航系统(GNSS)站缺乏实测气象参数,通常利用再分析数据、经验模型替代反演大气可降水量(PWV)的问题,定量分析地面气压(P)和加权平均温度(Tm)在反演PWV中的适用性:利用欧洲中期天气预报中心(ECMWF)发布的第五代再分析数据集(ERA5)、美国国家环境预报中心(NCEP)/国家大气研究中心(NCAR)再分析数据、第二代和第三代全球气压和温度模型(GPT2和GPT3)、全球格网非线性加权平均温度模型(GGNTm)计算P和Tm;然后以探空站实测气象数据为参考,评估不同P和Tm的精度及其对PWV反演的影响。结果表明:1)ERA5、NCEP、GPT2、GPT3获取P的偏差(bias)绝对值小于1 h Pa,均方根误差(RMSE)小于5.5 h Pa;2)在获取Tm方面,ERA5、NCEP、GGNTm、GPT3的bias绝对值小于2.5 K,RMSE小于5.5 K;3)将ERA5、NCEP、GPT2+GGNTm、GPT3获取的气象参数应用到PWV反演中,PWV偏差绝对值小于0.5 mm,RMSE小于3 mm。分析得出应用非实测气象参数反演的GNSS大气可降水量也可获得较高精度的结论。展开更多
基金supported by the National Natural Science Foundation of China(41804035,41374027)。
文摘The spoofing capability of Global Navigation Satellite System(GNSS)represents an important confrontational capability for navigation security,and the success of planned missions may depend on the effective evaluation of spoofing capability.However,current evaluation systems face challenges arising from the irrationality of previous weighting methods,inapplicability of the conventional multi-attribute decision-making method and uncertainty existing in evaluation.To solve these difficulties,considering the validity of the obtained results,an evaluation method based on the game aggregated weight model and a joint approach involving the grey relational analysis and technique for order preference by similarity to an ideal solution(GRA-TOPSIS)are firstly proposed to determine the optimal scheme.Static and dynamic evaluation results under different schemes are then obtained via a fuzzy comprehensive assessment and an improved dynamic game method,to prioritize the deceptive efficacy of the equipment accurately and make pointed improvement for its core performance.The use of judging indicators,including Spearman rank correlation coefficient and so on,combined with obtained evaluation results,demonstrates the superiority of the proposed method and the optimal scheme by the horizontal comparison of different methods and vertical comparison of evaluation results.Finally,the results of field measurements and simulation tests show that the proposed method can better overcome the difficulties of existing methods and realize the effective evaluation.
文摘针对未配备气象传感器的全球卫星导航系统(GNSS)站缺乏实测气象参数,通常利用再分析数据、经验模型替代反演大气可降水量(PWV)的问题,定量分析地面气压(P)和加权平均温度(Tm)在反演PWV中的适用性:利用欧洲中期天气预报中心(ECMWF)发布的第五代再分析数据集(ERA5)、美国国家环境预报中心(NCEP)/国家大气研究中心(NCAR)再分析数据、第二代和第三代全球气压和温度模型(GPT2和GPT3)、全球格网非线性加权平均温度模型(GGNTm)计算P和Tm;然后以探空站实测气象数据为参考,评估不同P和Tm的精度及其对PWV反演的影响。结果表明:1)ERA5、NCEP、GPT2、GPT3获取P的偏差(bias)绝对值小于1 h Pa,均方根误差(RMSE)小于5.5 h Pa;2)在获取Tm方面,ERA5、NCEP、GGNTm、GPT3的bias绝对值小于2.5 K,RMSE小于5.5 K;3)将ERA5、NCEP、GPT2+GGNTm、GPT3获取的气象参数应用到PWV反演中,PWV偏差绝对值小于0.5 mm,RMSE小于3 mm。分析得出应用非实测气象参数反演的GNSS大气可降水量也可获得较高精度的结论。
