TOA-based sensor position error suppression method in asynchronous network

An error suppression, asynchronous network technology, applied in instruments, positioning, measurement devices, etc., can solve the problems of inaccurate sensor position acquisition, execution cost consumption, performance degradation, etc.

An error suppression, asynchronous network technology, applied in instruments, positioning, measurement devices, etc., can solve the problems of inaccurate sensor position acquisition, execution cost consumption, performance degradation, etc.

CN111157943AActive Publication Date: 2020-05-15宁波市大学科技园发展有限公司
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  • TOA-based sensor position error suppression method in asynchronous network
  • TOA-based sensor position error suppression method in asynchronous network
  • TOA-based sensor position error suppression method in asynchronous network

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Embodiment Construction

[0023] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0024] A sensor position error suppression method based on TOA in an asynchronous network proposed by the present invention, its overall realization block diagram is as follows figure 1 As shown, it includes the following steps:

[0025] Step 1: Establish a planar Cartesian coordinate system as a reference coordinate system in the two-dimensional asynchronous wireless sensor network environment, and set N sensors and one target source in the two-dimensional asynchronous wireless sensor network environment, place the i-th sensor at The real coordinate position in the reference coordinate system is denoted as a i , record the coordinate position of the target source in the reference coordinate system as x, a i =(a i1 ,a i2 ), x=(x 1 ,x 2 ); wherein, N is a positive integer, N represents the total number of sensors in the two-dimensional as...

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Abstract

The invention discloses a TOA-based sensor position error suppression method in an asynchronous network. The method comprises the following steps: establishing a measurement model of a distance measurement value obtained by a sensor, and combining an actual coordinate position model of the sensor in a reference coordinate system and a robust least square criterion to obtain a non-convex positioning problem for solving a target source position and initial sending time; importing a relaxation variable and an auxiliary variable into a non-convex positioning problem, combining an S-program and a positive semidefinite relaxation technology, and relaxing the non-convex positioning problem into a positive semidefinite programming problem for solving a target source position and initial sending time; solving the positive semidefinite programming problem for solving the position of the target source and the initial sending time by adopting an interior point method to obtain an estimated value of the position of the target source. The method has the advantages that the influence of sensor position errors can be effectively reduced, the performance is still stable under the condition of largesensor position errors, and the positioning precision is high.

Description

technical field [0001] The invention relates to an error suppression technology, in particular to a TOA-based sensor position error suppression method in an asynchronous network. Background technique [0002] Target source localization has broad application prospects, such as water quality monitoring, target tracking, and emergency rescue, etc., so it has attracted extensive attention from the research community. In a wireless sensor network (WSN), target source localization is performed by multiple sensors, which determine the position of the target source by collecting measurements that carry target source location information. Commonly used measurements are Time of Arrival (TOA), Time Difference of Arrival (TDOA), Received Signal Strength (RSS), and Angle of Arrival (AOA). Among them, the target source localization algorithm based on TOA has the advantages of high positioning accuracy, so it has attracted the attention of researchers. However, the target source localizat...

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Application Information

Patent Timeline
15 May 2020
Publication
CN111157943A
IPC
G01S5/02; G01S5/06
CPC
G01S5/021; G01S5/06
Inventors
李有明; 戚勤科