The Varzaghan district at the northwestern margin of the Urumieh–Dokhtar magmatic arc, is considered a promising area for the exploration of porphyry Cu deposits in Iran. In this study we identified mono-and multi-el...The Varzaghan district at the northwestern margin of the Urumieh–Dokhtar magmatic arc, is considered a promising area for the exploration of porphyry Cu deposits in Iran. In this study we identified mono-and multi-element geochemical anomalies associated with Cu–Au–Mo–Bi mineralization in the central parts of the Varzaghan district by applying the concentration–area fractal method. After mono-element geochemical investigations, principal component analysis was applied to ten selected elements in order to acquire a multi-element geochemical signature based on the mineralization-related component. Quantitative comparisons of the obtained fractal-based populations were carried out in accordance with known Cu occurrences using Student's t-values. Then,significant mono-and multi-element geochemical layers were separately combined with related geologic and structural layers to generate prospectivity models, using the fuzzy GAMMA approach. For quantitative evaluation of the effectiveness of different geochemical signatures in final prospectivity models, a prediction-area plot was adapted. The results show that the multi-element geochemical signature of principal component one(PC1) is more effective than mono-element layers in delimiting exploration targets related to porphyry Cu deposits.展开更多
提出一种基于扩展卡尔曼滤波的DIFAR(Direction Finding and Ranging)浮标阵目标跟踪算法。首先,建立了目标与浮标的数学运动模型及坐标系,然后推导出目标状态方程及观测方程,确定了滤波初始状态值及初始协方差矩阵。仿真结果表明,以测...提出一种基于扩展卡尔曼滤波的DIFAR(Direction Finding and Ranging)浮标阵目标跟踪算法。首先,建立了目标与浮标的数学运动模型及坐标系,然后推导出目标状态方程及观测方程,确定了滤波初始状态值及初始协方差矩阵。仿真结果表明,以测量目标方位和频率作为输入信息,使用卡尔曼滤波技术,在测向方位误差均方差5°,测频误差均方差0.1 Hz情况下,成功完成了目标参数估计任务。最后针对三种典型的浮标布防阵形进行了大量仿真,分析了三种阵形的参数估计性能,讨论了三种阵形的优缺点。展开更多
文摘The Varzaghan district at the northwestern margin of the Urumieh–Dokhtar magmatic arc, is considered a promising area for the exploration of porphyry Cu deposits in Iran. In this study we identified mono-and multi-element geochemical anomalies associated with Cu–Au–Mo–Bi mineralization in the central parts of the Varzaghan district by applying the concentration–area fractal method. After mono-element geochemical investigations, principal component analysis was applied to ten selected elements in order to acquire a multi-element geochemical signature based on the mineralization-related component. Quantitative comparisons of the obtained fractal-based populations were carried out in accordance with known Cu occurrences using Student's t-values. Then,significant mono-and multi-element geochemical layers were separately combined with related geologic and structural layers to generate prospectivity models, using the fuzzy GAMMA approach. For quantitative evaluation of the effectiveness of different geochemical signatures in final prospectivity models, a prediction-area plot was adapted. The results show that the multi-element geochemical signature of principal component one(PC1) is more effective than mono-element layers in delimiting exploration targets related to porphyry Cu deposits.
文摘提出一种基于扩展卡尔曼滤波的DIFAR(Direction Finding and Ranging)浮标阵目标跟踪算法。首先,建立了目标与浮标的数学运动模型及坐标系,然后推导出目标状态方程及观测方程,确定了滤波初始状态值及初始协方差矩阵。仿真结果表明,以测量目标方位和频率作为输入信息,使用卡尔曼滤波技术,在测向方位误差均方差5°,测频误差均方差0.1 Hz情况下,成功完成了目标参数估计任务。最后针对三种典型的浮标布防阵形进行了大量仿真,分析了三种阵形的参数估计性能,讨论了三种阵形的优缺点。
