RFID indoor positioning system and algorithm based on deep Q network

Abstract

The invention relates to a RFID indoor positioning system and an algorithm based on a deep Q network. The system comprises a plurality of RFID tags, a plurality of reader antennas, a reader baseband control module, a wireless transmission device (WIFI) and a computer management system. The RFID tags are used for carrying data information. The reader antennas are used for receiving tag informationand RSSI values. The reader baseband control module is used for driving the tags and the antennas, coding and decoding the date. The wireless transmission device is used for transmitting tag data. Thecomputer management system is used for controlling the sending of read and write commands, training a depth Q network model, and outputting specific tag positions. The algorithm comprises the following steps of: defining an initial state and an action and a Q estimation network and a target network as shown in the description; training sample tag location data to establish a location memory; performing a counter propagation; and updating a neural network and finding the optimal RSSI value to output the target location. Compared to the traditional indoor positioning algorithm based on the neural network, the RFID indoor positioning system and the algorithm based on the deep Q network reduces the power consumption of hardware, improves the sensitivity of the reader and the positioning accuracy of the target tag, and is particularly suitable for the case where the number of positioning targets is large.

Description

technical field [0001] The present invention relates to indoor positioning technology in radio frequency identification (Radio Frequency Identification, RFID), specifically, an RFID indoor positioning algorithm based on deep Q network. Background technique [0002] In recent years, with the development of Internet of Things technology, people's demand for location-based services (LBS) is increasing. When you open a positioning mobile phone, you can see various location-based APPs, covering almost all aspects of life, such as Takeaway software Meituan, Ele.me and other software, open the software, locate various merchants, and eat all kinds of food; taxi software Didi Dache, ofo Xiaohuangche and other software, you can ride a bicycle conveniently and take a taxi. More and more location-based service software makes our life more convenient and promotes the development of location technology. Today's positioning services mainly rely on the Global Positioning System (GPS). Chi...

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Problems solved by technology

[0005] Chinese patent CN201610490721.4 An indoor target positioning system and method based on a single camera and RSSI, patentee: Jiangsu Huanya Medical Technology Group Co., Ltd. This patent discloses an indoor target positioning system based on a single camera and RSSI and method, the fusion of RSSI positioning data and camera machine vision positioning information improves the accuracy of target tracking and positioning, avoids the situation of tracking failure, reduces the inaccurate phenomenon of positioning information caused by RSSI signals due to wall refraction, shielding, etc., and improves The accuracy and reliability of the system for target tracking and positioning are improved, but the accuracy of the single camera positioning system is low, and the RSSI signal is susceptible to interference. The above method does not perform too much precision processing on the corresponding signal, and can only be applied to special working environments. has certain limitations

Use BP neural network to correct the error of RSSI measurement value, and finally use the maximum likelihood estimation method to calculate the real coordinates of unknown nodes. Power consumption improves positioning accuracy at the same time, but this method is only used in traditional wireless networks, not in radio frequency identification positioning, and has certain limitations

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