A linear-correction least-squares（LCLS） estimation procedure is proposed for geolocation using frequency difference of arrival （FDOA） measurements only. We first analyze the measurements of FDOA, and further deriv...A linear-correction least-squares（LCLS） estimation procedure is proposed for geolocation using frequency difference of arrival （FDOA） measurements only. We first analyze the measurements of FDOA, and further derive the Cramer-Rao lower bound （CRLB） of geoloeation using FDOA measurements. For the localization model is a nonlinear least squares（LS） estimator with a nonlinear constrained, a linearizing method is used to convert the model to a linear least squares estimator with a nonlinear con- strained. The Gauss-Newton iteration method is developed to conquer the source localization problem. From the analysis of solving Lagrange multiplier, the algorithm is a generalization of linear-correction least squares estimation procedure under the condition of geolocation using FDOA measurements only. The algorithm is compared with common least squares estimation. Comparisons of their estimation accuracy and the CRLB are made, and the proposed method attains the CRLB. Simulation re- sults are included to corroborate the theoretical development.展开更多
设p是一个奇素数.对任意满足1≤a≤p-1的整数a,存在唯一的整数1≤a≤p-1,使得a·a≡1 mod p成立.设N(p)表示区间1≤a≤p-1中所有满足条件a与a具有相反奇偶性的a的集合.本文利用解析方法以及广义Kloosterman和的性质研究一类特殊的Ga...设p是一个奇素数.对任意满足1≤a≤p-1的整数a,存在唯一的整数1≤a≤p-1,使得a·a≡1 mod p成立.设N(p)表示区间1≤a≤p-1中所有满足条件a与a具有相反奇偶性的a的集合.本文利用解析方法以及广义Kloosterman和的性质研究一类特殊的Gauss和∑。∈N(p)x(a)e(ma/p)的估计问题,给出一个较强的上界估计,其中e(x)=e^(2πix),(m,p)=1,且x是模p的任意特征.展开更多
基金National High-tech Research and Development Program of China (2011AA7072043)National Defense Key Laboratory Foundation of China (9140C860304)Innovation Fund of Graduate School of NUDT (B120406)
文摘A linear-correction least-squares（LCLS） estimation procedure is proposed for geolocation using frequency difference of arrival （FDOA） measurements only. We first analyze the measurements of FDOA, and further derive the Cramer-Rao lower bound （CRLB） of geoloeation using FDOA measurements. For the localization model is a nonlinear least squares（LS） estimator with a nonlinear constrained, a linearizing method is used to convert the model to a linear least squares estimator with a nonlinear con- strained. The Gauss-Newton iteration method is developed to conquer the source localization problem. From the analysis of solving Lagrange multiplier, the algorithm is a generalization of linear-correction least squares estimation procedure under the condition of geolocation using FDOA measurements only. The algorithm is compared with common least squares estimation. Comparisons of their estimation accuracy and the CRLB are made, and the proposed method attains the CRLB. Simulation re- sults are included to corroborate the theoretical development.
文摘设p是一个奇素数.对任意满足1≤a≤p-1的整数a,存在唯一的整数1≤a≤p-1,使得a·a≡1 mod p成立.设N(p)表示区间1≤a≤p-1中所有满足条件a与a具有相反奇偶性的a的集合.本文利用解析方法以及广义Kloosterman和的性质研究一类特殊的Gauss和∑。∈N(p)x(a)e(ma/p)的估计问题,给出一个较强的上界估计,其中e(x)=e^(2πix),(m,p)=1,且x是模p的任意特征.
