A bluetooth positioning method
A bluetooth positioning and bluetooth technology, applied in positioning, instruments, measuring devices, etc., can solve problems such as difficulty in absolute accuracy, impact on equipment positioning, etc., achieve miniaturized power consumption, solve computing problems, and low power consumption
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Embodiment 1
[0069] The bluetooth device in the present invention all uses the communication protocol above bluetooth 4.1, and bluetooth 4.1 is mainly focused on IOT (Internet Of Things Internet of Things). Devices with the Bluetooth 4.1 protocol can act as transmitters and receivers at the same time, and can be connected to multiple devices. The Bluetooth 4.1 protocol is a promising technology, and its characteristics of intelligence, low power consumption, high transmission speed and simple connection will be suitable for use in many emerging devices.
[0070] Such as figure 1 with figure 2 The present invention proposes a bluetooth positioning method, which is used in a bluetooth positioning system, and the bluetooth positioning system at least includes a bluetooth transmitting module 100 and a bluetooth receiving module 200 . The bluetooth receiving module 200 includes a bluetooth antenna device and a signal analysis module 220, the bluetooth antenna device includes a receiving end ...
Embodiment 2
[0113] The second embodiment is roughly the same as the first embodiment, except that:
[0114] It is known through actual inspection that the vertical distance di obtained in the step S8, i+1 conforms to the standard normal distribution:
[0115]
[0116] Therefore, the optimal vertical distance (dopt) is generated by taking the median of the data within plus or minus 1.96 standard deviations of multiple vertical distances.
[0117] Know that through actual inspection, the best distance (Lopt) and the best angle of incidence (θopt) obtained in the step S11 meet the standard normal distribution:
[0118]
[0119] Therefore, the optimal distance (Lopt) is generated by taking the median of the data within plus or minus 1.96 standard deviations of multiple distances (Li); the optimal incident angle (θopt) is generated by comparing multiple incident angles ( The data within plus or minus 1.96 standard deviations of θi) is generated by taking the median.
[0120] Such as ...
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