An indoor online positioning method based on a PDR and a hidden Markov model
A Hidden Markov, positioning method technology, applied in the direction of location information-based services, specific environment-based services, wireless communication, etc., can solve the problems of sensor accumulation error WiFi signal, unstable positioning accuracy, etc.
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[0056] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.
[0057] Such as figure 1 As shown, an indoor online positioning method based on PDR combined with a hidden Markov model includes the following steps:
[0058]S1: Obtain the maximum value L of the PDR step size deviation based on historical data max and the maximum value of gyroscope angle deviation θ at each moment max ;
[0059] The formula for the maximum value of the gyroscope angle deviation at each moment is:
[006...
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