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Bayesian compressed sensing passive positioning method based on phase deviation

A Bayesian compression, phase shift technology, applied in positioning, radio wave measurement systems, complex mathematical operations, etc., can solve problems such as environmental sensitivity, reduced calculation time, and reduced positioning accuracy

Pending Publication Date: 2022-02-18
ARMY ENG UNIV OF PLA
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Problems solved by technology

[0004] The invention proposes a Bayesian compressed sensing passive positioning method based on phase offset, which overcomes the problem that the traditional RSS-based compressed sensing positioning method is sensitive to the environment, and the positioning accuracy decreases in complex and changing environments. The offset value of the phase received by the channel is used as the observation data, which reduces the influence of environmental noise, reduces the computational complexity, and reduces the calculation time

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  • Bayesian compressed sensing passive positioning method based on phase deviation
  • Bayesian compressed sensing passive positioning method based on phase deviation
  • Bayesian compressed sensing passive positioning method based on phase deviation

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Embodiment Construction

[0019] A Bayesian compressed sensing passive positioning method based on phase offset, comprising the following steps:

[0020] Step 1: Carry out grid processing on the set positioning area;

[0021] Step 2: Deploy sensor nodes around the positioning area and collect wireless link phase information;

[0022] Step 3: Establish a passive dictionary based on the PRS weight model;

[0023] Step 4: Estimate the target position and update relevant parameters with the compressed sensing sparse recovery algorithm based on variational Bayesian inference;

[0024] Step 5: Mesh clipping;

[0025] Step 6: Repeat step 4 to step 5, terminate when the measurement residual is less than the set threshold or reaches the maximum number of iterations, and take the final iteration result as the target positioning result.

[0026] The specific implementation process is as follows:

[0027] Step 1: Carry out grid processing on the set positioning area.

[0028] Since compressed sensing theory i...

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Abstract

The invention discloses a Bayesian compressed sensing passive positioning method based on phase deviation, and relates to the technical field of passive target positioning methods. The method comprises the steps of carrying out gridding processing on a set positioning area; deploying sensor nodes around the positioning area and collecting wireless link phase information; establishing a passive dictionary based on a PRS weight model; estimating a target position by using a compressed sensing sparse recovery algorithm based on variational Bayesian reasoning, and updating related parameters; cutting the grids; and when the measurement residual error is smaller than a set threshold value or reaches the maximum number of iterations, ending, and taking a final iteration result as a target positioning result. According to the method, the problems that a traditional RSS-based compressed sensing positioning method is sensitive to the environment and the positioning precision is reduced in a complex and changing environment are solved, the offset value of the phase received by the wireless link serves as observation data, the influence of environmental noise is relieved, the operation complexity is reduced, and the calculation time is shortened.

Description

technical field [0001] The invention relates to the technical field of passive target positioning methods, in particular to the technical field of phase offset-based Bayesian compressed sensing passive positioning methods. Background technique [0002] Target positioning through wireless sensors has always been a research hotspot and has a wide application prospect. At present, most of the research on sensor target positioning is focused on active positioning, that is, the target needs to carry wireless transceiver equipment, which can autonomously transmit signals and be received by wireless sensors. However, in some cases, the target cannot transmit signals outward, and then device-free localization (DFL) needs to be used. Different from active positioning, DFL does not need to distribute any transceiver equipment for the target. It estimates the position of the target by analyzing the shadow effect of the target on the wireless link. In the past ten years, DFL has recei...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S5/02G06F17/10
CPCG01S5/02G01S5/021G01S5/0215G06F17/10
Inventor 李宁盛金峰郭艳江新华谢威郭明喜许魁陈承
Owner ARMY ENG UNIV OF PLA