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A Method to Reduce Bandwidth Overhead of Wi-Fi Passive Sensing System

A perception system and bandwidth technology, applied in the direction of radio transmission system, transmission system, diversity/multi-antenna system, etc., can solve problems such as inapplicable Wi-Fi systems, achieve effective and reliable CSI compression algorithm, reduce bandwidth overhead, and reduce transmission The effect of bandwidth overhead

Active Publication Date: 2022-01-28
重庆派明科技有限公司
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Problems solved by technology

Therefore, the CSI compression method for massive MIMO systems is not suitable for Wi-Fi systems

Method used

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  • A Method to Reduce Bandwidth Overhead of Wi-Fi Passive Sensing System
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  • A Method to Reduce Bandwidth Overhead of Wi-Fi Passive Sensing System

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Embodiment Construction

[0030] specific implementation plan

[0031] Step 1: The transmitting end TX located in the passive sensing area sends pilot signals to the receiving end RX, and the receiving end RX estimates the channel state information matrix H={h(1),h(2),… ,h(i),…}, where, Indicates the CSI matrix obtained by the i-th sampling of the receiving end RX, N r Indicates the number of antennas at the receiving end, N c Indicates the number of subcarriers.

[0032] Step 2: The receiving end RX uses the first K column vectors in the channel state information matrix H to initialize the sparse dictionary D, that is, D={h(1),h(2),...,h(K)}, and from the channel state Select the CSI vector set HW for sparse dictionary training in the information matrix H, where K=2N c N r , I 2P is a unit matrix with a dimension of 2P×2P, P is the packet sending rate of the transmitter TX and P>N r N c , O is a zero matrix, at this time, the sparse representation coefficient X of the matrix HW under the sp...

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Abstract

The present invention proposes a channel state information (Channel State Information, CSI) compression method for a Wi-Fi-based passive sensing system, which can effectively reduce the bandwidth overhead caused by the transmission of CSI data packets used for passive sensing, and ensure wireless Real-time performance of source-aware systems. First, the sparse dictionary is initialized by using part of the CSI data sampled by the receiving end, and the sparse coefficient of the channel state matrix under the sparse dictionary is calculated; secondly, the sparse dictionary is updated with the channel state matrix and the obtained sparse coefficient; then, the receiving end uses the sparse dictionary and the compressed CSI data are transmitted to the server; finally, the server reconstructs the original CSI data and performs perceptual processing. The actual measurement results show that the CSI compression algorithm of the passive sensing system designed by the present invention is effective and reliable. While reducing the transmission bandwidth overhead, it has achieved parameter estimation accuracy and perception effects equivalent to the original data, and improved the real-time performance of channel state information feedback. .

Description

technical field [0001] The invention belongs to compression and reconstruction technology, and in particular relates to a method for reducing the bandwidth overhead of a passive sensing system under a commercial Wi-Fi system. Background technique [0002] At present, there are a large number of applications of passive perception systems for commercial Wi-Fi, such as gesture recognition, keystroke recognition, breath detection, behavior recognition, and intrusion detection. The information processing process of this type of passive sensing system is generally divided into three steps: collecting channel state information (Channel State Information, CSI), extracting characteristic parameters, and outputting model results. Among them, the number of CSI data packets collected by the wireless network card is often large, which helps to improve the accuracy of model recognition, but when the CSI data packets obtained by the receiving end RX are transmitted to the server for proces...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B7/0413H04B7/06H04W28/06
CPCH04B7/0413H04B7/0626H04W28/06
Inventor 杨小龙王小龙聂伟谢良波王勇周牧王嘉诚
Owner 重庆派明科技有限公司