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未预期模型误差影响下秩减估计器的性能分析
引用本文:王 鼎,吴 瑛.未预期模型误差影响下秩减估计器的性能分析[J].通信学报,2011(8):81-90.
作者姓名:王 鼎  吴 瑛
作者单位:信息工程大学信息工程学院;
基金项目:信息工程大学博士研究生学位论文创新基金资助项目(BSLWCX200801)~~
摘    要:从理论上定量分析了未预期模型误差影响下秩减估计器的方位估计性能。通过对秩减估计空域谱进行一阶Taylor级数展开得到方位估计偏差的表达式,基于此分别推导了秩减估计器的方位估计均方误差和测向成功概率。针对一种用于均匀阵列互耦自校正的秩减估计器给出数值实验,实验结果验证了理论推导的有效性。

关 键 词:秩减估计  模型误差  互耦  均方误差  成功概率  高斯向量二次型

Performance analysis of rank reduction estimator in the presence of unexpected modeling errors
WANG Ding,WU Ying.Performance analysis of rank reduction estimator in the presence of unexpected modeling errors[J].Journal on Communications,2011(8):81-90.
Authors:WANG Ding  WU Ying
Affiliation:WANG Ding,WU Ying(Institute of Information Engineering,PLA Information Engineering University,Zhengzhou 450002,China)
Abstract:A performance analysis of the RARE was presented in presence of unexpected modeling errors.First,the closed-form expression of direction-finding(DF) error was given through the first-order Taylor series expansion of the spatial spectrum function,and then the mean square error(MSE) and DF success probability of the RARE were derived.The numerical experiments,which were associated with the RARE of mutual coupling self-calibration for uniform array,were conducted to validate the theoretical analysis.
Keywords:rank reduction estimation  modeling errors  mutual coupling  mean square error  success probability  quad-ratic forms of Gauss vector  
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