基于蚁群算法的室内可见光高精度三维定位系统
发布时间：2018-07-24 16:57
【摘要】：为了提高室内定位精度,实现三维定位,提出一种基于蚁群算法的的可见光通信室内高精度三维定位系统。本系统采用了码分多址(Code Division Multiple Access,CDMA)调制技术,解决了室内可见光通信多信号源之间的符号间干扰.系统中与发光二极管(Light Emitting Diode,LED)光信号源地理位置相关的ID信息码经过直接扩频调制后加载至发光二极管驱动电路,以光信号的形式在室内传播.光信号经过放大、滤波、采样处理后,根据码分多址调制技术中扩频码的正交性恢复出ID信息及光强衰减信息.经过计算获得来自不同发光二极管的信号光强衰减因子,利用蚁群算法的全局搜索性确定最优定位点.引入误差修复因子,利用蚁群算法的并行搜索性对光强衰减因子偏差进行修正.仿真结果表明,信噪比为30dB,20dB,10dB的条件下,算法的定位精度分别为2cm,4cm,8cm.当计算的精度高于45cm时,蚁群算法定位解的搜索效率明显高于遍历法.在10dB的信噪比条件下,对光强衰减因子进行修正后100%的测试点都实现了5cm定位精度.实验结果表明,20dB信噪比条件下,92.59%的测试点的定位误差小于8cm,96.29%的测试点定位误差小于10cm,最大定位误差为11.30cm.经过误差修复后,96.2%的测试点实现了3cm的定位精度,61.6%的测试点实现了2cm的定位精度.本算法在实现了高精度定位,减少了获得最优定位解的计算量.
[Abstract]:In order to improve the accuracy of indoor positioning and realize 3D positioning, a high precision 3D positioning system for visible light communication room based on ant colony algorithm is proposed. Code division multiple access (Code Division Multiple) CDMA) modulation technology is used to solve the inter-symbol interference between multiple signal sources in indoor visible light communication. The ID code which is related to the geographical position of the light emitting diode (Light Emitting) signal source is loaded into the LED driving circuit after direct spread spectrum modulation and propagates in the form of optical signal. After the optical signal is amplified, filtered and sampled, the ID information and the optical intensity attenuation information are recovered according to the orthogonality of the spread spectrum code in the code division multiple access modulation technology. The attenuation factor of signal intensity from different LEDs is calculated, and the optimal location point is determined by using the global search ability of ant colony algorithm. The error repair factor is introduced and the deviation of attenuation factor of light intensity is corrected by the parallel search of ant colony algorithm. The simulation results show that when the SNR is 30 dB, the location accuracy of the algorithm is 2 cm ~ 4 cm ~ (-1) and 8 cm ~ (-1) respectively. When the accuracy of calculation is higher than that of 45cm, the searching efficiency of ant colony algorithm is obviously higher than that of ergodic method. Under the condition of signal-to-noise ratio (SNR) of 10dB, the accuracy of 5cm positioning is achieved at 100% of the test points after correction of the attenuation factor of light intensity. The experimental results show that the location error of 92.59% of the test points is less than 8 cm, 96.29% of the test points is less than 10 cm, and the maximum positioning error is 11.30 cm 路m ~ (-1) at 20 dB signal-to-noise ratio. After error repair, 96.2% of the test points achieve the positioning accuracy of 3cm and 61.6% of the test points achieve the positioning accuracy of 2cm. The algorithm can achieve high precision localization and reduce the computational cost of obtaining the optimal location solution.
【作者单位】： 华南理工大学材料科学与工程学院;华南理工大学发光材料与器件国家重点实验室;
【基金】：广东省及广州市科技计划项目(Nos.2013B090600048、2015B010134001、2015B010127004、2015YT02C093、201604040004、201604010006)资助~~
【分类号】：TN929.1
[Abstract]:In order to improve the accuracy of indoor positioning and realize 3D positioning, a high precision 3D positioning system for visible light communication room based on ant colony algorithm is proposed. Code division multiple access (Code Division Multiple) CDMA) modulation technology is used to solve the inter-symbol interference between multiple signal sources in indoor visible light communication. The ID code which is related to the geographical position of the light emitting diode (Light Emitting) signal source is loaded into the LED driving circuit after direct spread spectrum modulation and propagates in the form of optical signal. After the optical signal is amplified, filtered and sampled, the ID information and the optical intensity attenuation information are recovered according to the orthogonality of the spread spectrum code in the code division multiple access modulation technology. The attenuation factor of signal intensity from different LEDs is calculated, and the optimal location point is determined by using the global search ability of ant colony algorithm. The error repair factor is introduced and the deviation of attenuation factor of light intensity is corrected by the parallel search of ant colony algorithm. The simulation results show that when the SNR is 30 dB, the location accuracy of the algorithm is 2 cm ~ 4 cm ~ (-1) and 8 cm ~ (-1) respectively. When the accuracy of calculation is higher than that of 45cm, the searching efficiency of ant colony algorithm is obviously higher than that of ergodic method. Under the condition of signal-to-noise ratio (SNR) of 10dB, the accuracy of 5cm positioning is achieved at 100% of the test points after correction of the attenuation factor of light intensity. The experimental results show that the location error of 92.59% of the test points is less than 8 cm, 96.29% of the test points is less than 10 cm, and the maximum positioning error is 11.30 cm 路m ~ (-1) at 20 dB signal-to-noise ratio. After error repair, 96.2% of the test points achieve the positioning accuracy of 3cm and 61.6% of the test points achieve the positioning accuracy of 2cm. The algorithm can achieve high precision localization and reduce the computational cost of obtaining the optimal location solution.
【作者单位】： 华南理工大学材料科学与工程学院;华南理工大学发光材料与器件国家重点实验室;
【基金】：广东省及广州市科技计划项目(Nos.2013B090600048、2015B010134001、2015B010127004、2015YT02C093、201604040004、201604010006)资助~~
【分类号】：TN929.1
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