Three-dimensional joint estimation method based on Wi-Fi channel state information

A technology of channel state information and joint estimation, applied in the field of parameter estimation, which can solve the problems of limited estimation accuracy of AoA and ToF

Active Publication Date: 2019-05-10
重庆派明科技有限公司
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AI Technical Summary

Problems solved by technology

However, most commercial WiFi cards have only three antennas and limited bandwidth, which limits the estimation accuracy of AoA and ToF
While these 2D localization methods rely on accurate ...

Method used

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  • Three-dimensional joint estimation method based on Wi-Fi channel state information
  • Three-dimensional joint estimation method based on Wi-Fi channel state information
  • Three-dimensional joint estimation method based on Wi-Fi channel state information

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Embodiment Construction

[0055] specific implementation plan

[0056] Step 1: Suppose there are D signal sources and N subcarriers in the WiFi system, and the receiver at the receiving end contains M antennas to receive the CSI information in P data packets from the signal source, using different antennas, different subcarriers and different Time CSI information to construct a three-dimensional matrix X P×M×N ={x i,j,k}, where 1≤i≤P, 1≤j≤M, 1≤k≤N, x i,j,k Indicates the CSI information obtained on the i-th data packet, the j-th antenna, and the k-th subcarrier.

[0057] Step 2: The three-dimensional matrix X P×M×N Convert to a two-dimensional matrix, convert the i (2≤i≤P) page of the third dimension containing the data packet information into the (i-1)M+1 to iM rows of the first page, thus obtaining a two-dimensional matrix Y PM×N , the specific algorithm is as follows:

[0058] first packet X 1×M×N (θ,τ,v):

[0059]

[0060] i(2≤i≤P)th packet X i×M×N (θ,τ,v):

[0061]

[0062] Convert t...

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Abstract

The invention provides a three-dimensional joint estimation method based on Wi-Fi channel state information (CSI). Firstly, in order to overcome the limitation of the number of antennas and the channel bandwidth to a two-dimensional joint estimation model, the obtained channel state information forms a three-dimensional matrix from three dimensions of subcarriers, the antennas and data packets; secondly, dimensional reduction processing is performed on the three-dimensional matrix, and smooth processing between the subcarriers, the antennas and the data packets is performed on the basis; and finally, signal subspace decomposition and noise subspace decomposition are performed on the smoothed matrix to construct a spectral function. Based on the spectral function, three-dimensional joint search of an angle of arrival (AoA), time of flight (ToF) and doppler frequency shift (DFS) is performed. A designed three-dimensional joint estimation algorithm can still achieve high estimation precision under the conditions of a small number of antennas and a narrow channel bandwidth, and provides a theoretical basis for application such as accurate indoor tracking and positioning.

Description

technical field [0001] The invention belongs to a parameter estimation method, in particular to a parameter estimation method for a system composed of an indoor target and a transceiver under a Wi-Fi system. Background technique [0002] In recent years, the passive passive tracking and positioning technology that does not carry any equipment has attracted much attention, aiming at positioning and tracking indoor people. )Applications. Most of the existing indoor target tracking methods require the target to carry a special device or a wearable device, but it is inconvenient to carry the device in some cases. [0003] Existing passive positioning technologies include ultrasonic, infrared, LED visible light, WiFi, etc. At present, the research on Wi-Fi-based tracking and positioning system has been the focus of people's attention. This system does not require additional infrastructure, only Wi-Fi access point (AP) and one or several Wi-Fi protocol ( Such as 802.11n / ac) rec...

Claims

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Application Information

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IPC IPC(8): G01S5/02
Inventor 杨小龙佘媛周牧何维田增山王嘉诚
Owner 重庆派明科技有限公司
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