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Anchor node optimal selection algorithm in wireless positioning
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A technology for optimal selection and wireless positioning, applied in the field of high-precision distance estimation and wireless positioning technology
Inactive Publication Date: 2017-11-21
HARBIN INST OF TECH AT WEIHAI
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[0003] The purpose of the present invention is to provide an optimal selection algorithm for anchor nodes in wireless positioning in order to solve the problem of high-efficiency optimal selection of anchor nodes in the process of least squares and maximum likelihood positioning calculations
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specific Embodiment approach 1
[0017] Specific implementation mode one: combine figure 1 To illustrate this embodiment, an anchor node optimal selection algorithm in wireless positioning described in this embodiment includes the following steps:
[0018] Step 1. There are I+1 wireless sensor nodes in the system, which are respectively I anchor nodes A={A 1 ,A 2 ,A 3 ,...,A i ,...,A I} and 1 unknown node, they all have nanoLOC radio frequency transceivers, and can use the bilateral peer-to-peer method to measure the estimated distance between any two nodes, where i is a positive integer, and 1≤i≤I, I is The parameter set by the user is a positive integer, and 6≤I≤15, in the present invention, I takes a value of 10;
[0019] Step 2. The system obtains the estimated distance sequence d={d from the unknown node to each anchor node through repeated measurement and statistical calculation 1 , d 2 , d 3 ,...,d i ,...,d I}, and the corresponding estimated quality parameter sequence q={q 1 ,q 2 ,q 3 ,.....
specific Embodiment approach 2
[0029] Specific embodiment 2. This embodiment is a further description of the anchor node optimal selection algorithm in the wireless positioning described in the specific embodiment 1. In this embodiment, the strategy of sliding window and single-pass scanning is adopted, and no sorting is required. Thus, efficient distance estimation and optimal selection of anchor nodes can be realized.
specific Embodiment approach 3
[0030] Specific embodiment 3, this embodiment is to further explain the anchor node optimal selection algorithm in the wireless positioning described in specific embodiment 1. In this embodiment, the estimated quality parameter used can be statistical standard deviation, or are other parameters that characterize the quality of the distance estimate.
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Abstract
The invention discloses an anchor node optimal selection algorithm in wireless positioning, which relates to anchor node optimal selection during least square positioning calculation and maximum likelihood positioning calculation processes and aims at effectively solving the anchor node high-efficiency optimal selection problem during least square and maximum likelihood positioning calculation processes. According to the anchor node optimal selection algorithm in wireless positioning, an estimation quality parameter sliding window is firstly defined; the estimation quality parameter sliding window is then adopted to carry out single-pass scanning in an estimation quality parameter sequence, and continuous comparison and numerical value adjustment are carried out; and finally, a high-quality distance estimation value and the corresponding anchor node are acquired, and a support is provided for subsequent high-precision maximum likelihood and least square positioning calculation.
Description
technical field [0001] The invention relates to high-precision distance estimation and wirelesspositioning technology. Background technique [0002] In the actual wireless communication environment, due to the influence of adverse factors such as noise, environmental interference, and measurement errors, the communication distance estimation has different degrees of error, resulting in strong uncertainty in the positioning calculation results such as maximum likelihood and least squares. Accurate prior knowledge and decision information cannot be provided for subsequent navigation and decision-making. In view of the above problems, the present invention considers that there are differences in the noise levels of different distance estimation values, based on each distance estimation value sequence and the corresponding estimated quality parameter sequence, no sorting algorithm is required, and the strategy of sliding window and single-pass scanning is used to efficiently O...
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