Positioning method of WLAN (Wireless Local Area Network) indoor mobile user based on positioning error estimation
A positioning error, mobile user technology, applied in electrical components, wireless communication and other directions, can solve the problem of low positioning accuracy of WLAN indoor mobile users, and achieve the effect of eliminating the influence of errors, accurate positioning results, and eliminating positioning errors.
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specific Embodiment approach 1
[0020] Specific implementation mode 1: Combination figure 1 To describe this embodiment, the steps of this embodiment are as follows:
[0021] Step 1. Establish a two-dimensional coordinate system in the offline phase, and collect received signal strength RSS (Received Signal Strength) samples from Access Point (AP) at a reference point with known coordinates, and establish a location fingerprint database ;
[0022] Step 2: Calculate in the online stage, use the KNN distance-dependent location fingerprint matching algorithm selected by the present invention to match the received signal strength RSS received by the user's wireless network card with the location fingerprint in the radio signal coverage map, and calculate an initial positioning coordinate;
[0023] Let the numbers of RP and AP be m and n, respectively. S ij Defined as the mean value of RSS samples from the i-th reference point and j-th AP in the database, s j Is the mean value of RSS samples from n APs measured by th...
specific Embodiment approach 2
[0034] Specific implementation manner two: combination Figure 1 to Figure 4 This embodiment is described. The difference between this embodiment and the first embodiment is that according to the process of the first embodiment, figure 2 The effectiveness of the test method under the experimental environment of the company, among them, 9 Linksys WAP54G APs are arranged in an indoor environment of 24.9m×66.4m. The experimental path is from A to D in a 3 meter wide corridor. In the experiment, an ASUS laptop was used to collect data. It is equipped with Intel PRO / Wireless3945ABG wireless network card and RSS sample collection software NetStumbler, with a sampling rate of 2 RSS samples per second. In the offline phase, a total of 182 reference points with a spacing of 1 m were selected along the corridor, and a total of 300 RSS samples were collected for 150 seconds on each RP. In addition, a total of 960 training RSS samples were collected along the experimental path to train ...
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