针对双基阵提供的有偏方位角量测信息,对双基阵纯方位目标可观测性的必要条件及其CRAMER-Rao下限 进行了理论推导.在此基础上,采用一种新的辅助变量方法对双基阵纯方位跟踪性能进行改进,并在可观测条件下对 目标进行了蒙特卡洛仿真实验.实验结果表明,新的辅助变量方法可以使参数估计精度大大提高,并且上述理论对制 定实际的跟踪策略或算法具有一定的参考价值
标签： CRAMER-Rao 双基 方位角 变量
上传时间： 2016-05-24
上传用户：changeboy
统计分析函数：CA,CRAMER,LR,MA,MK,MTT,YAMA
上传时间： 2017-04-02
上传用户：ynzfm
This paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical CRAMER—Rao lower bounds (CRLB) of estimation error are derived. The estimation performance (error mean and
标签： processing ballistic the tracking
上传时间： 2014-10-31
上传用户：yyyyyyyyyy
This paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical CRAMER—Rao lower bounds (CRLB) of estimation error are derived. The estimation performance (error mean and
标签： processing ballistic the tracking
上传时间： 2014-01-14
上传用户：奇奇奔奔
This paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical CRAMER—Rao lower bounds (CRLB) of estimation error are derived. The estimation performance (error mean and
标签： processing ballistic the tracking
上传时间： 2013-12-22
上传用户：asddsd
We consider the problem of target localization by a network of passive sensors. When an unknown target emits an acoustic or a radio signal, its position can be localized with multiple sensors using the time difference of arrival (TDOA) information. In this paper, we consider the maximum likelihood formulation of this target localization problem and provide efficient convex relaxations for this nonconvex optimization problem.We also propose a formulation for robust target localization in the presence of sensor location errors. Two CRAMER-Rao bounds are derived corresponding to situations with and without sensor node location errors. Simulation results confirm the efficiency and superior performance of the convex relaxation approach as compared to the existing least squares based approach when large sensor node location errors are present.
标签： 传感器网络
上传时间： 2016-11-27
上传用户：xxmluo
