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Multi-target positioning method and device based on compressed sensing and binary particle swarm

A multi-target positioning and compressed sensing technology, applied in the field of multi-target positioning based on compressed sensing and binary particle swarm, can solve problems such as poor positioning accuracy, and achieve the effect of improving positioning accuracy

Active Publication Date: 2020-09-15
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

However, due to the impact of environmental noise, bias noise introduced by measurement matrix mismatch, and column-strength correlation of measurement matrices, commonly used compressive sensing-based localization algorithms suffer from poor localization accuracy.

Method used

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  • Multi-target positioning method and device based on compressed sensing and binary particle swarm
  • Multi-target positioning method and device based on compressed sensing and binary particle swarm
  • Multi-target positioning method and device based on compressed sensing and binary particle swarm

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Embodiment Construction

[0058] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0059] In the description of the present invention, it should be understood that the orientation descriptions, such as up, down, front, back, left, right, etc. indicated orientations or positional relationships are based on the orientations or positional relationships shown in the drawings, and are only In order to facilitate the description of the present invention and simplify the description, it does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific ...

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Abstract

The invention discloses a multi-target positioning method and device based on compressed sensing and a binary particle swarm. The method comprises the following steps: carrying out mesh generation ona monitoring region, building a positioning model based on compressed sensing, and converting a multi-target positioning problem into a classic 0-1 knapsack problem; searching a drop point area of a to-be-positioned target on a divided grid by adopting a preset algorithm so as to reduce the dimensionality of the optimization problem; solving a corresponding optimization problem by adopting a binary particle swarm optimization algorithm so as to reconstruct a sparse signal x; and determining a grid where the to-be-positioned target is located according to the reconstructed sparse signal x, andtaking a representative position of the grid as an estimated position of the to-be-positioned target. According to the method, the multi-target positioning problem under a wireless sensor network is converted into the 0-1 knapsack problem based on the compressed sensing theory, the estimated position of the target is obtained according to the reconstructed signal, the positioning precision is improved, and the method and the device can be widely applied to a multi-target positioning technology of a wireless sensor network.

Description

technical field [0001] The invention relates to a multi-target positioning technology of a wireless sensor network, in particular to a multi-target positioning method and device based on compressed sensing and binary particle swarm. Background technique [0002] At present, telecom operators have launched commercial packages of the fifth-generation mobile communication technology (5th-Generation, 5G), marking the official commercialization of 5G technology. Currently, the 3GPP organization defines three application scenarios for 5G technology: Enhanced Mobile Broadband (Enhanced Mobile Broadband, eMBB), Massive Machine-Type Communications (Massive Machine-Type Communications, mMTC), and Ultra-Reliable and Low-Latency Communication (Ultra-Reliable and Low Latency Communications, uRLLC), where the massive machine-type communication application scenarios involve the application of the Internet of Things. Therefore, the emergence of 5G will vigorously promote the development of...

Claims

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Application Information

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IPC IPC(8): H04W4/02H04W4/021H04W64/00H04W84/18G06F17/16G06N3/00
CPCG06F17/16G06N3/006H04W4/021H04W4/023H04W64/00H04W84/18
Inventor 黎善斌陈统杰
Owner SOUTH CHINA UNIV OF TECH
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