【摘要】：針對室內(nèi)位置指紋定位技術(shù)存在的離線階段工作量大、定位精度有限、頑健性較差的缺點,提出了一種基于線性內(nèi)插法改進(jìn)的指紋定位匹配算法。與傳統(tǒng)位置指紋定位技術(shù)相比,該算法不僅降低了整體工作量,而且降低了多徑效應(yīng)造成的不利影響。最后搭建實驗場景對該算法定位性能進(jìn)行測試。實驗數(shù)據(jù)顯示,該算法與WKNN法相比,平均定位精度大約提高了34.25%,絕大部分待測點的定位誤差在0.4 m以內(nèi),驗證了所提算法在定位精度、頑健性和適應(yīng)環(huán)境變化方面的優(yōu)勢。
[Abstract]:Aiming at the disadvantages of indoor location fingerprint location technology, such as large workload in off-line stage, limited location accuracy and poor robustness, an improved fingerprint location matching algorithm based on linear interpolation is proposed. Compared with the traditional location fingerprint location technique, the algorithm not only reduces the overall workload, but also reduces the adverse effects caused by the multipath effect. Finally, the experiment scene is built to test the localization performance of the algorithm. Experimental data show that the average positioning accuracy of the proposed algorithm is about 34.25% higher than that of the WKNN method, and the positioning error of most of the points to be measured is less than 0.4 m, which verifies the advantages of the proposed algorithm in positioning accuracy, robustness and adaptation to environmental changes.
【作者單位】： 西安郵電大學(xué);
【基金】：陜西省工業(yè)科技攻關(guān)項目(No.2014K05-09) 陜西省教育廳科學(xué)研究計劃項目(No.14JK1660)~~
【分類號】：TN911.7

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