Journal of Jilin University(Engineering and Technology Edition) ›› 2019, Vol. 49 ›› Issue (6): 2076-2082.doi: 10.13229/j.cnki.jdxbgxb20180996

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Indoor positioning method based on location fingerprinting of imitating mechanism of scorpion vibration source

Fu LIU1,2(),Mei-jing QUAN2,Ke WANG2,Yun LIU2,Bing KANG2,Zhi-wu HAN3,Tao HOU2,3()   

  1. 1. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China
    2. College of Communication Engineering, Jilin University, Changchun 130022, China
    3. Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China
  • Received:2018-09-28 Online:2019-11-01 Published:2019-11-08
  • Contact: Tao HOU E-mail:liufu@jlu.edu.cn;ht_happy@jlu.edu.cn

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Abstract:

The fingerprint indoor localization method based on the Received Signal Strength (RSS) is vulnerable to multipath effect and noise interference, resulting in low positioning accuracy. To solve this problem, an indoor positioning method based on location fingerprinting of imitating the mechanism of scorpion vibration source location is proposed. Firstly, the method imitates the n/1 neuron configuration of scorpion to construct the neuron structure, in order to encode the vibration signal and transform the vibration signal into pulses. Secondly, pulses are extracted as the location fingerprint feature, and then the location fingerprint feature database is established by the number of pulses. Finally, the Weighted K-Nearest Neighbours algorithm is used to estimate the position of vibration source. To verify the performance of the proposed algorithm, a vibration signal acquisition system is set up to imitate the vibration perception of scorpions. It is used to collect the user's step signals in the indoor environment. The experimental results indicate that the proposed method can improve the average positioning accuracy by 0.148 4 meters compared with the location fingerprinting based on RSS.

Key words: information processing technology, indoor positioning, scorpions, location fingerprinting, weighted K-nearest neighbors

CLC Number: 

  • TN911.73

Fig.1

Schematic diagram of location fingerprinting"

Fig.2

Distribution of sand scorpion′s BCSS"

Fig.3

n/1 configuration of scorpion neurons"

Fig.4

Connection block diagram of indoor fingerprint localization based on acceleromete"

Fig.5

Schematic diagram of reference points"

Fig.6

Photo of experiment site"

Fig.7

Arrangement of sensors"

Fig.8

Signal sample of vibration source"

Fig.9

Signal discharge spiking"

Table 1

Mean positioning error"

平均定位误差/m
KNN WKNN

1/1构型

2/1构型

3/1构型

5/1构型

7/1构型

0.5384

0.5096

0.3952

0.4384

0.4721

0.4839

0.4605

0.3517

0.3925

0.4182
RSS 0.5569 0.5001

Fig.10

Cumulative distribution function oferror distance"

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