A Relative Positioning Method Based on Space-Time Constraints
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摘要: 为了降低机动环境对传感器网络自身定位的影响,提出了一种基于空时联合约束的相对定位(STRP)方法。Monte Carlo仿真表明,相对于STF技术,STRP方法降低了环境对定位的影响,自主导航定位的精度提高了36%。Abstract: To improve the relative positioning precision of wireless sensor networks(WSN) affected by environment perturbing,this paper proposes a joint space-time constraints based relative positioning method(STRP).Firstly,the state equation in cooperative mission of WSN is presented.Secondly,space-domain geometric constraint equations of WSN are introduced according to correlation assumption of maneuvering topography.Finally,the geometric constraint equations are combined with strong tracking filter(STF) in time-domain by Lagrange multipliers to improve the positioning performance of WSN in perturbing environment.The results of Monte Carlo simulation demonstrate that the STRP techniques reduces the influence of perturbing environment and increases the positioning precision of antomated navigation by 36% compared with conventional STF.
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