A rssi fitting method for tracking low-speed moving vehicles
A vehicle and low-speed technology, which is applied in the field of RSSI positioning and vehicle mobile positioning, can solve the problems of signal fluctuation, small-scale fading of RSSI signal, and is not suitable for mobile vehicle scenarios, and achieves the effect of improving tracking accuracy and reducing RSSI error.
Active Publication Date: 2021-02-19
SOUTH CHINA UNIV OF TECH
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Problems solved by technology
However, in practical applications, the movement of the vehicle will cause the inevitable small-scale fading of the RSSI signal. In addition, the influence of noise interference and obstacle occlusion in the actual measurement process is not considered, the validity of the RSSI data is low, and there are large signal fluctuations. problem, which seriously affects the location calculation of moving vehicles
[0004] Obviously, the RSSI fitting method based on fixed terminals is not suitable for moving vehicle scenarios, and it is urgent to propose an RSSI fitting method for tracking low-speed moving vehicles
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[0015] The RSSI fitting method in the present invention is applied to the environment of tracking low-speed moving vehicles. The most critical idea is to use Gaussian filter processing to obtain a wireless signal attenuation model that conforms to the actual road environment, and consider the change of RSSI value in the scene of low-speed moving vehicles According to the law, the maximum error distance criterion is introduced for data screening, and finally Kalman filtering is performed to overcome the influence of noise and output a smooth waveform.
[0016] The embodiment of the present invention provides an RSSI fitting method for tracking low-speed moving vehicles, which can filter out effective RSSI signals in vehicle moving scenes, thereby reducing the error value of measurement experiments and achieving the purpose of improving the RSSI fitting effect.
[0017] In order to achieve the above technical purpose, the preferred embodiments of the present invention will be des...
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The invention discloses an RSSI fitting method for tracking a low-speed moving vehicle, comprising: arranging WIFI sniffing devices on both sides of the road on the same plane, establishing a relative coordinate system of a tracking and positioning system; The signal is processed by Gaussian filtering, and the signal attenuation index λ value in the attenuation model is determined to obtain a signal attenuation model in line with the actual road environment; the RSSI value is judged and screened, and the judged and screened data is processed by Kalman filter to obtain an effective RSSI signal. The present invention uses Gaussian filtering to obtain a wireless signal attenuation model conforming to the actual road environment, and considers the change rule of RSSI value in the low-speed moving vehicle scene, introduces the maximum error distance criterion for screening, and finally performs Kalman filtering processing. The invention can effectively reduce the fluctuation of RSSI signal and output smooth signal waveform.
Description
technical field [0001] The invention relates to the technical field of RSSI positioning and vehicle movement positioning, in particular to an RSSI fitting method for tracking low-speed moving vehicles. Background technique [0002] With the rapid construction of smart cities, a large number of wireless sensor networks will be deployed on both sides of urban roads. Vehicle positioning technology based on wireless signals has become an important method for real-time collection of traffic information and status monitoring. This positioning technology uses smartphones, tablet computers and notebooks (devices that can connect to WIFI networks) carried by drivers or passengers as mobile terminals (MT) (Mobile terminals), and monitors the information sent by mobile terminals (MTs) through WIFI sniffing devices. Probe request frame (Probe Request), extract the MAC address, timestamp (Time), and signal strength (RSSI). Combined with the longitude and latitude information of the WIFI...
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IPC IPC(8): H04W4/029H04W4/40
CPCH04W4/029H04W4/40
Inventor 林永杰黄紫林许伦辉
Owner SOUTH CHINA UNIV OF TECH