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RAO

  • This paper studies the problem of tracking a ballistic object in the reentry phase by processing ra

    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

  • 采用网格地图SLAM算法

    采用网格地图SLAM算法,基于RAO-Blackwellized的粒子滤波器

    标签: SLAM 网格 地图 算法

    上传时间: 2013-12-18

    上传用户:semi1981

  • 传感器网络中基于到达时间差有效的凸松弛方法的稳健定位

    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