Multipath channel side writing method of Wi-Fi equipment based on limited bandwidth

A technology with limited bandwidth and equipment, applied in the directions of transmission path sub-channel allocation, channel estimation, baseband system components, etc., to achieve the effect of good scalability, accurate decomposition, and improved time resolution

Active Publication Date: 2019-10-01
SHANGHAI JIAO TONG UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

Use the CSI information provided by limited-bandwidth Wi-Fi devices to accurately and detailedly characterize wireless multipath channels, and solve how

Method used

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  • Multipath channel side writing method of Wi-Fi equipment based on limited bandwidth
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  • Multipath channel side writing method of Wi-Fi equipment based on limited bandwidth

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Embodiment Construction

[0016] This embodiment specifically includes the following steps:

[0017] Step 1) Design the data model to match the MUSIC algorithm, that is, the data model of the MUSIC algorithm in calculating the signal angle of arrival is: Or simplified as X=AF+W, where: X i is the received signal of the i-th receiving antenna, F i is the transmitting signal of the i-th signal transmitting source, W i is the noise on the i-th receiving antenna, a(θ i ) is a pattern vector whose representation has an angle of arrival θ i The relationship between the transmitted signal and the received signal on each receiving antenna.

[0018] Step 2) The data model is reconstructed, and the signal arrival time of the current antenna is estimated using the reconstructed data model.

[0019] By observing this data model and comparing the aforementioned Wi-Fi multipath channel model, it can be found that the difference of the same signal between different receiving antennas caused by the signal arriva...

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Abstract

A multipath channel side writing method of the Wi-Fi equipment based on limited bandwidth is provided, a data model matched with a multi-signal classification algorithm is designed, after CSI of a plurality of antennas is reconstructed and combined, the multi-signal classification algorithm is adopted to solve the signal arrival time according to the CSI, and energy attenuation and phase change corresponding to signal arrival time are further obtained through a least square method and a Wi-Fi channel model, thereby realizing wireless channel side writing. The method is applied to the CSI-basedarrival time estimation problem by properly modifying the traditional MUSIC algorithm, so that more accurate multi-path channel side writing is provided. CSI information provided by the Wi-Fi equipment with limited bandwidth is used for accurately describing the wireless multi-path channel in detail, so that the problem of how to obtain accurate wireless multi-path channel side writing by using the narrow bandwidth Wi-Fi equipment under condition of not increasing redundant communication burden is solved.

Description

technical field [0001] The invention relates to a technology in the field of wireless communication, in particular to a multi-path channel profile (WiZoom) method based on a Wi-Fi device with limited bandwidth. Background technique [0002] Channel state information (CSI) is the main basis for Wi-Fi devices to perform channel equalization. It is essentially an estimation result of the frequency response of wireless multipath channels, so it contains important information related to channel multipath components. . Because the change of the multipath channel directly reflects the change of the propagation path caused by the spatial change, CSI is also widely used in wireless intelligent sensing and indoor positioning. Multipath channel profiling is a specific description of the multipath channel propagation path, including the arrival time, energy attenuation and phase change of each path. Among them, the arrival time is the most critical, and the energy attenuation and phase...

Claims

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Application Information

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IPC IPC(8): H04L5/00H04L25/02
CPCH04L5/003H04L5/0055H04L25/022
Inventor 俞嘉地薛骅朱燕民薛广涛
Owner SHANGHAI JIAO TONG UNIV
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