2014
DOI: 10.1109/tmc.2013.6
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Cooperative Self-Navigation in a Mixed LOS and NLOS Environment

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Cited by 23 publications
(21 citation statements)
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“…If the unknown node only selects anchor nodes on the ring, then will be reduced to = ⋅( 2 − 2 )/ 2 . On the other hand, it ensures that the distances between the unknown node and the three anchor nodes are as similar as possible, which also satisfies principle (3).…”
Section: Anchor Node Selection Algorithm Based Onmentioning
confidence: 91%
See 2 more Smart Citations
“…If the unknown node only selects anchor nodes on the ring, then will be reduced to = ⋅( 2 − 2 )/ 2 . On the other hand, it ensures that the distances between the unknown node and the three anchor nodes are as similar as possible, which also satisfies principle (3).…”
Section: Anchor Node Selection Algorithm Based Onmentioning
confidence: 91%
“…The expectation of the elements in Δ and Δ is 0. To compare the variance of the elements in Δ and Δ , we just need to compare (Δ 1 2 − Δ 3 2 ) and ((1/ )(Δ 1 2 − Δ 3 2 )). As (Δ 1 2 − Δ 3 2 ) = (8/45) 4 and ((1/ )(Δ 1 2 − Δ 3 2 )) = (8/(45 ⋅ 2 )) 4 , the variance of the elements in Δ is smaller than Δ ; we select triangle 1 2 3 to estimate the coordinates of .…”
Section: Influence Of the Relative Positions Of The Unknown Nodes Andmentioning
confidence: 99%
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“…, (2) Generate samples { , ,̂= 0} =1 through a forward particle filter (like Algorithm 1). (3) if > Δ (4) for = 1 : (5)̂= (6) f o r = − 1 : − (7) f o r = 1 :̂=…”
Section: Gaussian-markov Motion Modelmentioning
confidence: 99%
“…Many researchers in [4][5][6] have utilized particle filter to track the mobile targets in wireless sensor networks. Obviously, the performance of particle filter algorithm has a great impact on the tracking accuracy.…”
Section: Introductionmentioning
confidence: 99%