SU Liang-cheng,WANG Jian-bo.Radio Source Locating Method based on Signal-strength-differencein Gridded Radio Monitoring System[J].Journal of Chengdu University of Information Technology,2018,(04):391-394.[doi:10.16836/j.cnki.jcuit.2018.04.007]
网格化监测站中基于差分场强的信号源定位方法
- Title:
- Radio Source Locating Method based on Signal-strength-differencein Gridded Radio Monitoring System
- 文章编号:
- 2096-1618(2018)04-0391-04
- Keywords:
- signal and information processing; grid radio monitoring system; received signal strengthpositioning; signal-strength-difference; Okumura-Hata; genetic algorithm
- 分类号:
- TN98
- 文献标志码:
- A
- 摘要:
- 无线电监测和管理工作中经常需要对未知信号源进行定位。在网格化的无线电监测站中,首先对各节点测量得到的场强值进行预处理,并计算出各节点与参考节点之间的差分场强值。基于Okumura-Hata模型和差分场强给出了求解信号源位置的方程组,然后利用遗传算法解算出信号源的位置和发射天线高度。通过仿真分析,验证了该方法对信号源定位的准确性。
- Abstract:
- In radio monitoring and management work, it is often necessary to locate unknown sources. In the gridded radio monitoring station, firstly, the field strengths of each node are preprocessed and the differential field strength value between each node and the reference node is calculated. Then,an equation for calculating the location of the radiation source is obtained based on the Okumura-Hata radio propagation models and signal-strength-difference. Finally, the radio source location and the height of the launch antenna are achieved by genetic algorithm. The computer simulation shows the effectiveness of this algorithm.
参考文献/References:
[1] 孙小红. 基于网格化的无线监测系统研究[J]. 信息技术,2013(8):136-139.
[2] 马嫱. 网格化无线电监测系统的规划设计[D].西安:西安电子科技大学,2014.
[3] 袁冰清,陶建胜,周明,等.TDOA定位技术在网格化无线电监测系统中的应用[J]. 中国无线电,2014(6):55-57.
[4] 张兢,史文进,李冠迪,等.无线传感网络中基于RSSI质心定位的改进算法[J]. 重庆理工大学学报(自然科学版),2017,31(3):132-136.
[5] 徐丽. 增强型差分场强定位方法研究[D].南昌:南昌大学,2009.
[6] 王少尉. 移动通信场强传播损耗预测算法研究[D].武汉:武汉大学,2004.
[7] Junhui Zhang. RSS Based Location technique with the unknown transmit power and PLE using dimension reduction[A].信息化与工程国际学会,2016.
[8] Daoxin Li.RSS Based Method for Sensor Localization with Unknown Transmit Power and Uncertainty in Path Loss Exponent[A].IEEE:,2016.
[9] 张铮,饶志训,黄志峰. 无线传感器网络中RSSI滤波的若干处理方法[J]. 现代电子技术,2013,36(20):4-10.
[10] 张鑫,杨明华. 基于城郊环境下Okumura-Hata预测模型的校正与实现[J]. 通信技术,2008(5):67-68,78.
[11] 张延华,段占云,沈兰荪,等. Okumura-Hata传播预测模型的可视化仿真研究[J]. 电波科学学报,2001(1):89-92,117.
[12] 燕乐纬,陈树辉. 基于改进遗传算法的非线性方程组求解[J]. 中山大学学报(自然科学版),2011,50(1):9-13.
[13] 毕伟伟. 基于RSSI的WSN抗干扰定位算法研究与实现[D].沈阳:东北大学,2009.
[14] 谢树果,叶知秋,王磊,等.一种基于场强测量的信号源定位方法[J]. 电波科学学报,2013,28(6):1133-1138.
[15] 陈豫章. 基于RSSI的室内三维定位技术研究与实现[D].昆明:云南大学,2013.
相似文献/References:
[1]金宁敏,何培宇,潘 帆,等.一种基于超混沌的个性化耳鸣康复音合成方法[J].成都信息工程大学学报,2018,(04):359.[doi:10.16836/j.cnki.jcuit.2018.04.002]
JIN Ning-min,HE Pei-yu,PAN Fan,et al.A Method of Personalized Synthesizing TinnitusRehabilitation Sound based on Hyper-chaos[J].Journal of Chengdu University of Information Technology,2018,(04):359.[doi:10.16836/j.cnki.jcuit.2018.04.002]
[2]赵锦阳,卢会国,蒋娟萍,等.基于改进决策树的故障诊断方法研究[J].成都信息工程大学学报,2018,(06):624.[doi:10.16836/j.cnki.jcuit.2018.06.005]
ZHAO Jin-yang,LU Hui-guo,JIANG Juan-ping,et al.Research on Fault Diagnosis Method based on Improved Decision Tree[J].Journal of Chengdu University of Information Technology,2018,(04):624.[doi:10.16836/j.cnki.jcuit.2018.06.005]
[3]冯婉悦,佘 勇,姚振东.非球形降水粒子测量模型的初步研究[J].成都信息工程大学学报,2016,(02):136.
FENG Wan-yue,SHE Yong,YAO Zhen-dong.A Preliminary Study on the Measurement Model of
Non-spherical Precipitation Particles[J].Journal of Chengdu University of Information Technology,2016,(04):136.
[4]王保强,刘志刚,杨小平,等.医学小气候空气质量监测技术研究[J].成都信息工程大学学报,2016,(02):142.
WANG Bao-qiang,LIU Zhi-gang,YANG Xiao-ping,et al.Study on Air Quality Detection in Medical Microclimate[J].Journal of Chengdu University of Information Technology,2016,(04):142.
[5]龙永良,杜雨洺,陈光拓.雷达窄带强干扰自适应频域陷波技术研究与实现[J].成都信息工程大学学报,2016,(02):146.
LONG Yong-liang,DU Yu-ming,CHEN Guang-tuo.The Research and Realized on Adaptive Frequency Domain Notch
Filter with the Strong Narrow Band Interference in Radar[J].Journal of Chengdu University of Information Technology,2016,(04):146.
[6]曼世超,卢会国,卢 勇.基于LabVIEW的心电信号检测平台的设计[J].成都信息工程大学学报,2016,(03):255.
MAN Shi-chao,LU Hui-guo,LU Yong.The Design of ECG Detection Platform based on LabVIEW[J].Journal of Chengdu University of Information Technology,2016,(04):255.
[7]严学阳,杨笔锋,马尚昌.基于MSP430气象水文漂流浮标采集器的硬件设计[J].成都信息工程大学学报,2017,(01):28.[doi:10.16836/j.cnki.jcuit.2017.01.005]
YAN Xue-yang,YANG Bi-feng,MA Shang-chang.The Hardware Design of the Meteorological and
Hydrological Drifting Buoy Collector based on MSP430[J].Journal of Chengdu University of Information Technology,2017,(04):28.[doi:10.16836/j.cnki.jcuit.2017.01.005]
[8]赵富强,王维和,邓小波,等.气溶胶指数与臭氧总量的相关性初步研究[J].成都信息工程大学学报,2017,(02):147.[doi:10.16836/j.cnki.jcuit.2017.02.007]
ZHAO Fu-qiang,WANG Wei-he,DENG Xiao-bo,et al.A Preliminary Study on the Relationship between Aerosol Index and Total Ozone[J].Journal of Chengdu University of Information Technology,2017,(04):147.[doi:10.16836/j.cnki.jcuit.2017.02.007]
[9]杜牧云,余 蓉,吴 涛,等.一种改进的多普勒天气雷达下击暴流识别算法[J].成都信息工程大学学报,2017,(05):487.[doi:10.16836/j.cnki.jcuit.2017.05.004]
DU Mu-yun,YU Rong,WU Tao,et al.An Improved Method of Downburst Recognition based
on WSR-88D Doppler Weather Radar[J].Journal of Chengdu University of Information Technology,2017,(04):487.[doi:10.16836/j.cnki.jcuit.2017.05.004]
[10]喻伟闯,何培宇,徐自励,等.稀疏阵列方向不变恒定束宽波束形成优化方法[J].成都信息工程大学学报,2020,35(04):367.[doi:10.16836/j.cnki.jcuit.2020.04.001]
YU Weichuang,HE Peiyu,XU Zili,et al.Optimization Method of Sparse Array Steering-invariant Constant Beamwidth Beamforming[J].Journal of Chengdu University of Information Technology,2020,35(04):367.[doi:10.16836/j.cnki.jcuit.2020.04.001]
备注/Memo
收稿日期:2018-03-01