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Compression sensing and positioning method

A positioning method and compressive sensing technology, applied in positioning, location-based services, measuring devices, etc., can solve problems such as high hardware requirements, long time consumption, and large number of databases

Inactive Publication Date: 2015-10-28
深圳市西博泰科电子有限公司
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AI Technical Summary

Problems solved by technology

However, in the method of virtual calibration, the number of RSSI databases is large, and it takes a lot of time to perform data matching, and the hardware requirements are high.

Method used

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Embodiment Construction

[0023] In order to further illustrate the technical means adopted by the present invention and its effects, the following describes in detail in conjunction with preferred embodiments of the present invention and accompanying drawings.

[0024] see figure 2 , the specific embodiment of the present invention provides a compressed sensing positioning method, the compressed sensing positioning method includes the following steps:

[0025] Step 1: In a WIFI environment, sample wireless signals in the environment space to obtain a sparse sampling matrix; the step 1 includes: establishing a sampling model, and performing sparse sampling on the environment space according to a sparse sampling operator to obtain a sparse sampling matrix.

[0026] In this embodiment, if image 3 Divide the indoor scene into grids for calibration, the higher the positioning accuracy required, the smaller the division of the grid, and the larger the sampling matrix formed. Assume that there are M refe...

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Abstract

The invention provides a compression sensing and positioning method, which comprises the steps of step 1, sampling wireless signals in the space of a Wifi environment to obtain a sparse sampling matrix; step 2, recovering the sparse sampling matrix to obtain an RSSI matrix; step 3, acquiring the wireless signal information of the current location of a wireless access point, and comparing the wireless signal information with the RSSI matrix to obtain the current location. During the step 1, a sampling model is established and the environment space is sparsely sampled to obtain the sparse sampling matrix. During the step 2, the sparse sampling matrix is recovered based on the minimization algorithm L1 to obtain the RSSI matrix. According to the technical scheme of the invention, a plurality of random reference positions in the space environment are sampled in all directions for multiple times, so that the sparse sampling matrix in the space environment can be obtained. Meanwhile, the RSSI matrix that meets the positioning precision is obtained through recovering the sparse sampling matrix based on the minimization algorithm L1. Therefore, the time period for constructing the RSSI matrix is shortened.

Description

technical field [0001] The invention relates to the field of indoor positioning, in particular to a compressed sensing positioning method. Background technique [0002] The main idea of ​​indoor positioning technology based on fingerprint information (hereinafter referred to as: fingerprint positioning) comes from pattern recognition, and the default user location is the location of the terminal device held by the user. The strength of the wireless access point (AP) signal gradually decays with the increase of the propagation distance, but the actual indoor space is always more complicated than the ideal situation, and the distribution of the signal strength is no longer regular. Such as figure 1 As shown, a general smart terminal device can search for multiple APs within the coverage area of ​​the WLAN, and can receive the signal strength value RSSI (Received Signal Strength Indication) within the coverage area. The purpose of WLAN positioning is to perceive and collect R...

Claims

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Application Information

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IPC IPC(8): G01S5/02H04W4/02
CPCG01S5/02G01S5/0252H04W4/023
Inventor 由克
Owner 深圳市西博泰科电子有限公司
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