A target location method based on support set and expectation maximization in wifi environment
A technology for maximizing expectations and targeting targets, applied to services based on location information, services based on specific environments, positioning, etc., can solve problems such as heterogeneous devices and dynamic characteristics of the environment, and achieve improved accuracy and robustness, The effect of overcoming RSS fluctuations and strong adaptability
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Embodiment 1
[0061] Truth-value discovery uses expectation maximization:
[0062] Step 1.1 Fix the position of the AP in the positioning environment and divide the positioning environment into several grid points;
[0063] Step 1.2. Set up the WIFI network, place the signal source at each grid point in the positioning environment in turn and record the position coordinates of the signal source at this time;
[0064] Step 1.3. The placed signal sources transmit signals, record and store the RSS values of the signal sources received by each AP to complete the offline fingerprint library establishment;
[0065] Step 2.1. Obtain the target signal to be positioned;
[0066] Step 2.2. Use the optimal support set selection algorithm to select an appropriate support set size; construct a support set according to the similarity between the target signal and the offline fingerprint library;
[0067] Step 2.3. Estimate the correct position from the support set using expectation maximization.
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Embodiment 2
[0147] Truth discovery can also use voting.
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