CSI fingerprint passive positioning method based on depth separable convolution
A positioning method and passive technology, applied in positioning, neural learning methods, biological neural network models, etc., can solve the problems of high online positioning delay and time-consuming, and achieve the effect of low positioning delay and high positioning accuracy
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[0026] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0027] The present invention provides a CSI fingerprint passive positioning method based on depth separable convolution, the process of which is as follows:
[0028] Step 1: If figure 2 As shown in , the indoor scene area is divided and the reference point is selected, and the reference point coordinates and CSI data are collected.
[0029] Step 2: Construct CSI feature images using the CSI data of different antenna pairs of the transmitter and receiver. For the data at each location, 3000 data packets are collected, multiple groups of time-continuous data packets are selected using a sliding window of size 30, and the amplitude of the CSI subcarrier in each data packet is extracted. The magnitude of the ith CSI subcarrier of packet j is Calculate the amplitude difference of adjacent subcarriers And construct CSI feature image...
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