计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2014年
19期
95-98,127
,共5页
支持向量机%粒子群优化算法%室内定位%无线网络
支持嚮量機%粒子群優化算法%室內定位%無線網絡
지지향량궤%입자군우화산법%실내정위%무선망락
Support Vector Machine(SVM)%Particle Swarm Optimization(PSO)algorithm%indoor location%wireless network
为了提高室内的定位精度，减少环境因素的不利影响，提出了一种基于粒子群优化支持向量机的室内无线定位方法。选择参考点，构建室内无线定位的学习样本，采用支持向量机建立输入与输出之间的非线性关系模型，并用粒子群算法优化支持向量机参数；进行仿真实验测试其性能。实验结果表明，相对当前经典室内定位方法，该方法提高了提高室内的定位精度，将定位误差控制在实际应用的有效围，而且较好地满足了室内定位的实时性要求。
為瞭提高室內的定位精度，減少環境因素的不利影響，提齣瞭一種基于粒子群優化支持嚮量機的室內無線定位方法。選擇參攷點，構建室內無線定位的學習樣本，採用支持嚮量機建立輸入與輸齣之間的非線性關繫模型，併用粒子群算法優化支持嚮量機參數；進行倣真實驗測試其性能。實驗結果錶明，相對噹前經典室內定位方法，該方法提高瞭提高室內的定位精度，將定位誤差控製在實際應用的有效圍，而且較好地滿足瞭室內定位的實時性要求。
위료제고실내적정위정도，감소배경인소적불리영향，제출료일충기우입자군우화지지향량궤적실내무선정위방법。선택삼고점，구건실내무선정위적학습양본，채용지지향량궤건립수입여수출지간적비선성관계모형，병용입자군산법우화지지향량궤삼수；진행방진실험측시기성능。실험결과표명，상대당전경전실내정위방법，해방법제고료제고실내적정위정도，장정위오차공제재실제응용적유효위，이차교호지만족료실내정위적실시성요구。
In order to improve location accuracy and reduce environmental impact on indoor wireless location, this paper presents a novel indoor location method based on particle swarm optimization algorithm and support vector machine. Firstly, the indoor reference nodes are selected and the learning samples of indoor wireless location are obtained, and then support vector machine is used to establish the nonlinear model which can describe the relationship between input and output while and the parameters of support vector machine is optimized by particle swarm optimization algorithm, finally, the simulation is carried out to test the performance. The experimental results show that the proposed method has improved location accuracy and can control location error in effective range, and can meet the real-time requirement of indoor wire-less location.
