郑州轻工业学院学报（自然科学版）
鄭州輕工業學院學報（自然科學版）
정주경공업학원학보（자연과학판）
JOURNAL OF ZHENGZHOU INSTITUTE OF LIGHT INDUSTRY(NATURAL SCIENCE)
2014年
2期
62-66
,共5页
接收信号强度%曲线拟合%最小二乘法%分段拟合
接收信號彊度%麯線擬閤%最小二乘法%分段擬閤
접수신호강도%곡선의합%최소이승법%분단의합
received signal strength indicator(RSSI)%curve fitting%least squares method%piecewise fitting
针对接收信号强度（RSSI）测距算法常用Shadowing模型在一些实际测距中固定节点受到地形等环境因素影响致使其使用受限的问题，提出了一种基于多项式分段拟合的RS S I测距算法．该算法利用最小二乘拟合函数法，将采样的有限个RS S I数据分段拟合成连续的三次多项式函数，以便更准确地模拟特定环境下的RS S I衰减情况．利用该算法进行实验和仿真，寻求合适的分段数和分割点，结果表明：用2段法进行拟合可将平均误差由2．25 m降低至0．8778 m．
針對接收信號彊度（RSSI）測距算法常用Shadowing模型在一些實際測距中固定節點受到地形等環境因素影響緻使其使用受限的問題，提齣瞭一種基于多項式分段擬閤的RS S I測距算法．該算法利用最小二乘擬閤函數法，將採樣的有限箇RS S I數據分段擬閤成連續的三次多項式函數，以便更準確地模擬特定環境下的RS S I衰減情況．利用該算法進行實驗和倣真，尋求閤適的分段數和分割點，結果錶明：用2段法進行擬閤可將平均誤差由2．25 m降低至0．8778 m．
침대접수신호강도（RSSI）측거산법상용Shadowing모형재일사실제측거중고정절점수도지형등배경인소영향치사기사용수한적문제，제출료일충기우다항식분단의합적RS S I측거산법．해산법이용최소이승의합함수법，장채양적유한개RS S I수거분단의합성련속적삼차다항식함수，이편경준학지모의특정배경하적RS S I쇠감정황．이용해산법진행실험화방진，심구합괄적분단수화분할점，결과표명：용2단법진행의합가장평균오차유2．25 m강저지0．8778 m．
Aiming at the problem that the Shadowing model commonly used of received signal strength indi-cator(RSSI)ranging algorithm was limited due to the effect of environmental factors such as the terrain in practice,a RSSI ranging algorithm was proposed based on piecewise polynomial fitting.This method,using of least-squares fitting function,fitted the sampling of a finite number of RSSI data to a continuous piece-wise cubic polynomial function,which could simulate more accurately RSSI attenuation under specific cir-cumstances.Using this algorithm and simulation experiments to seek appropriate number of segments and split points,the results showed that the average error was decreased from 2.25 m to 0.877 8 m using two-piecewise fitting method.
