Finding an Optimal Geometric Configuration for TDOA Location Systems With Reinforcement Learning

Finding an Optimal Geometric Configuration for TDOA Location Systems With Reinforcement Learning

In TDOA passive location tasks, the geometric configuration can greatly affect the positioning precision due to the complicated characteristics of electromagnetic environment. How to find an appropriate path to a good geometry to locate the transmitter accurately is vital in practical location tasks...

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Bibliographic Details
Main Authors: Shengxiang Li, Guangyi Liu, Siyuan Ding, Haisi Li, Ou Li
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Geometry optimaztion
passive location
TDOA
reinforcement learning
actor-critic
Online Access:https://ieeexplore.ieee.org/document/9415644/
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