回波强度测量误差主要由雷达本身的参数(如发射功率、波束宽度、天线增益、系统损耗等)、气象因子(如折射指数、衰减系数、充塞系数等)、信号处理方法等误差引起。通过对相关雷达参数的相对误差和回波强度绝对误差曲线分析得出,雷达参...回波强度测量误差主要由雷达本身的参数(如发射功率、波束宽度、天线增益、系统损耗等)、气象因子(如折射指数、衰减系数、充塞系数等)、信号处理方法等误差引起。通过对相关雷达参数的相对误差和回波强度绝对误差曲线分析得出,雷达参数天线增益优于0.1 dB、发射峰值功率优于10%、发射频率优于0.1%、脉冲宽度优于1%、波束宽度优于0.01°时,反射率因子测量误差将<0.8 dB z,可满足新一代天气雷达反射率因子测量误差范围在±1 dB内的技术要求。展开更多
The efficiency of an optimization method for acoustic emission/microseismic（AE/MS） source location is determined by the compatibility of its error definition with the errors contained in the input data.This compatib...The efficiency of an optimization method for acoustic emission/microseismic（AE/MS） source location is determined by the compatibility of its error definition with the errors contained in the input data.This compatibility can be examined in terms of the distribution of station residuals.For an ideal distribution,the input error is held at the station where it takes place as the station residual and the error is not permitted to spread to other stations.A comparison study of two optimization methods,namely the least squares method and the absolute value method,shows that the distribution with this character constrains the input errors and minimizes their impact,which explains the much more robust performance by the absolute value method in dealing with large and isolated input errors.When the errors in the input data are systematic and/or extreme in that the basic data structure is altered by these errors,none of the optimization methods are able to function.The only means to resolve this problem is the early detection and correction of these errors through a data screening process.An efficient data screening process is of primary importance for AE/MS source location.In addition to its critical role in dealing with those systematic and extreme errors,data screening creates a favorable environment for applying optimization methods.展开更多
文摘回波强度测量误差主要由雷达本身的参数(如发射功率、波束宽度、天线增益、系统损耗等)、气象因子(如折射指数、衰减系数、充塞系数等)、信号处理方法等误差引起。通过对相关雷达参数的相对误差和回波强度绝对误差曲线分析得出,雷达参数天线增益优于0.1 dB、发射峰值功率优于10%、发射频率优于0.1%、脉冲宽度优于1%、波束宽度优于0.01°时,反射率因子测量误差将<0.8 dB z,可满足新一代天气雷达反射率因子测量误差范围在±1 dB内的技术要求。
文摘The efficiency of an optimization method for acoustic emission/microseismic（AE/MS） source location is determined by the compatibility of its error definition with the errors contained in the input data.This compatibility can be examined in terms of the distribution of station residuals.For an ideal distribution,the input error is held at the station where it takes place as the station residual and the error is not permitted to spread to other stations.A comparison study of two optimization methods,namely the least squares method and the absolute value method,shows that the distribution with this character constrains the input errors and minimizes their impact,which explains the much more robust performance by the absolute value method in dealing with large and isolated input errors.When the errors in the input data are systematic and/or extreme in that the basic data structure is altered by these errors,none of the optimization methods are able to function.The only means to resolve this problem is the early detection and correction of these errors through a data screening process.An efficient data screening process is of primary importance for AE/MS source location.In addition to its critical role in dealing with those systematic and extreme errors,data screening creates a favorable environment for applying optimization methods.
