RFID indoor positioning algorithm based on DDPG

An indoor positioning and algorithm technology, applied in positioning, measuring devices, instruments, etc., can solve the problem of high convergence cost, achieve the effect of positioning accuracy and positioning speed improvement, continuous automatic learning and positioning

Active Publication Date: 2019-01-15
GUANGXI UNIV
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AI Technical Summary

Problems solved by technology

The positioning algorithm based on the particle wave model needs to simulate the state distribution through a large number of particle swarms, and then update their weight model according to the observation results. The particles usually converge to the most likely user position, and the convergence cost is relatively high.

Method used

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  • RFID indoor positioning algorithm based on DDPG
  • RFID indoor positioning algorithm based on DDPG
  • RFID indoor positioning algorithm based on DDPG

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Embodiment

[0044] see figure 1 , which is an overall framework diagram of a DDPG-based RFID indoor positioning algorithm in the present invention. The present invention first performs RSSI data collection on the RFID tag in the positioning area, specifically including: the tag backscatter signal, the computer sends instructions to the reader through the data processing center, and the reader further controls the tag reading to obtain the original RSSI of the tag value, and input these RSSI values ​​into the action network and evaluation network for processing.

[0045] The action network includes an action estimation network and an action target network. The action estimation network uses the deep deterministic strategy in reinforcement learning to approximate the behavior value function Q μ (s, a) and a deterministic policy μ θ (s), in the aspect of action output, a network is used to fit the policy function, the real-time action is directly output, and the policy gradient is updated ...

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Abstract

The invention relates to the radio frequency identification (RFID) indoor positioning technology, specifically a RFID indoor positioning algorithm based on deep deterministic policy gradient (DDPG). The indoor positioning algorithm comprises the following steps: establishing an action network and an assessment network, wherein the action network comprises an action estimation network and an actiontarget network; the assessment network comprises an assessment estimation network and an assessment target network; performing single-step updating on the policy gradient by using an action-assessment method, wherein the policy gradient can be applied to a continuous action to perform screening; adding deterministic in the screening process, and outputting an action value on the continuous action, thereby determining a location of the target label. Since the RFID indoor positioning action is continuous, the DDPG and the RFID indoor positioning are combined, thereby well solving the positioning continuity problem. Compared with the traditional indoor positioning algorithm based on a neural network , the algorithm is more continuous on the positioning action, the positioning precision is further improved, and the algorithm is especially suitable for the condition that the lable information is huge.

Description

technical field [0001] The present invention relates to indoor positioning technology in radio frequency identification (Radio Frequency Identification, RFID), in particular, an RFID indoor positioning algorithm based on Deep Deterministic Policy Gradient (DDPG). Background technique [0002] With the development of communication technology and the Internet of Things, and the popularization of smart terminals and mobile life, people need to apply location-based positioning services in their lives and work, and the requirements for positioning are getting higher and higher, and the required positioning technology is also From outdoor positioning to indoor positioning. Indoor positioning or outdoor positioning is determined according to the application scenario of the positioning object. In outdoor positioning, the positioning technology based on satellite navigation has become mature, but due to the influence of dense vegetation and most buildings in outdoor positioning, the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S5/08H04W64/00
CPCH04W64/006G01S5/08Y02D30/70
Inventor 郑嘉利李丽
Owner GUANGXI UNIV
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