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
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标签： 源代码
上传时间： 2017-11-17
上传用户：wendingchang
The Universal Radio Hacker (URH) is a software for investigating unknown wireless protocols. Features include * __hardware interfaces__ for common Software Defined Radios * __easy demodulation__ of signals * __assigning participants__ to keep overview of your data * __customizable decodings__ to crack even sophisticated encodings like CC1101 data whitening * __assign labels__ to reveal the logic of the protocol * __fuzzing component__ to find security leaks * __modulation support__ to inject the data back into the system * __simulation environment__ to perform stateful attacks
标签： Universal Hacker Radio The URH
上传时间： 2018-11-23
上传用户：milo
惯性信息完全unknown的多刚体姿态跟踪的基于神经网络的滑模控制
上传时间： 2019-07-24
上传用户：sjjy0220
