Error analysis and ranging algorithm of RSSI polynomial piecewise fitting
ZOU Dong-yao
ZHENG Dao-li
LI Chen
Abstract：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.
Keywords：received signal strength indicator(RSSI)curve fittingleast squares methodpiecewise fitting
Publication Date：2014-03-02
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 62-66 )