基于三个定向天线RSS的二维到达角估计

doi:10.19678/j.issn.1000-3428.0057714

摘要/Abstract

摘要： 在室内定位设计中，接收信号强度（RSS）容易受到发射功率、信号衰减和多径环境等因素的影响。在锚节点天线高于被测节点天线的应用条件下，提出一种基于RSS的二维到达角（AoA）估计方法。将三个定向天线作为锚节点的波束切换天线且三个波束的方向图重叠，在测向技术中的和差法理论基础上，从多径信号分析和克拉美罗下界推导的角度出发，论证当AoA处于方向图重叠区域时RSS差分处理对于多径和噪声干扰具有一定程度的抑制作用，并研究该抑制效果与波束切换天线参数之间的关系。仿真结果表明，在单个锚节点条件下，该方法在约150 m²的定位区域范围内获得的平均AoA估计误差为4.3°，具有较高的AoA估计和定位精度。

关键词: 室内定位, 到达角估计, 接收信号强度, 天线方向图, 多径抑制

Abstract: In the design of indoor positioning systems,Received Signal Strength(RSS) is easily affected by multiple factors including transmit power,signal attenuation and multipath environment.To reduce the interferences,this paper proposes a RSS-based method for estimating 2D Angle of Arrival(AoA) in the case that the anchor node antenna is higher than the measured node antenna.Three directional antennas are used to construct a switched beam antenna of the anchor node,and the patterns of the three beams are overlapped.By using the theory of the sum-difference-method used in direction finding,based on the analysis of multipath signals and derivation of Cramer-Rao Lower Bound(CRLB),it is proved that RSS differential processing can suppress the multipath interference and noise to some extent when the AoA is in the overlapped area of the three patterns.In addition,the relationship between the suppression effect and the parameters of the switched beam antenna is studied.Simulation results show that within the range of about 150 square meters,the average AoA estimation error is 4.3 degrees,which demonstrates the proposed method achieves a high precision of AOA estimation and high positioning accuracy.

Key words: indoor positioning, Angle of Arrival(AoA) estimation, Received Signal Strength(RSS), antenna pattern, multipath suppression

中图分类号:

TP391

冷文. 基于三个定向天线RSS的二维到达角估计[J]. 计算机工程, 2021, 47(5): 160-168,175.

LENG Wen. 2D AoA Estimation Based on RSS of Three Directional Antennas[J]. Computer Engineering, 2021, 47(5): 160-168,175.

http://www.ecice06.com/CN/Y2021/V47/I5/160

参考文献

[1] GUO Qing.Research on location of electromagnetic radiation source based on received signal strength[D].Nanjing:Nanjing Normal University,2018.(in Chinese)郭青.基于接收信号强度的电磁辐射源定位研究[D].南京:南京师范大学,2018.
[2] GHOLAMI M R,VAGHEFI R M,STROM E G.RSS-based sensor localization in the presence of unknown channel parameters[J].IEEE Transactions on Signal Processing,2013,61(15):3752-3759.
[3] TOMIC S,BEKO M,DINIS R.RSS-based localization in wireless sensor networks using convex relaxation:noncooperative and cooperative schemes[J].IEEE Transactions on Vehicular Technology,2015,64(5):2037-2050.
[4] LONG Cheng,WU Chengdong,ZHANG Yunzhou.Indoor robot localization based on wireless sensor networks[J].IEEE Transactions on Consumer Electronics,2011,57(3):1099-1104.
[5] YONG Tian,TANG Zhenan,YAN Yu.Third-order channel propagation model-based indoor adaptive localization algorithm for wireless sensor networks[J].IEEE Antennas and Wireless Propagation Letters,2013,12(4):1578-1581.
[6] PU Chuanchin,CHUNG Wanyoung.Mitigation of multipath fading effects to improve indoor RSSI performance[J].IEEE Sensors Journal,2008,8(11):1884-1886.
[7] LEU J S,TZENG H J.Received signal strength fingerprint and footprint assisted indoor positioning based on ambient Wi-Fi signals[C]//Proceedings of the 75th IEEE Vehicular Technology Conference.Washington D.C.,USA:IEEE Press,2012:1-5.
[8] LIN Z P,LÜ T J,MATHIOPOULOS P T.3-D indoor positioning for millimeter-wave massive MIMO systems[J].IEEE Transactions on Communications,2018,66(6):2472-2486.
[9] ZHANG Weile,YIN Qinye,CHEN Hongyang,et al.Distributed angle estimation for localization in wireless sensor networks[J].IEEE Transactions on Wireless Communications,2013,12(2):527-537.
[10] MALAJNER M,PLANINSIC P,GLEICH D.Angle of arrival estimation using RSSI and omnidirectional rotatable antennas[J].IEEE Sensors Journal,2012,12(6):1950-1957.
[11] MALAJNER M,GLEICH D,PLANINSIC P.Angle of arrival measurement using multiple static monopole antennas[J].IEEE Sensors Journal,2015,15(6):3328-3337.
[12] KALIS A,ANTONAKOPOULOS T.Direction finding in IEEE802.11 wireless networks[J].IEEE Transactions on Instrumentation and Measurement,2002,51(5):940-948.
[13] PRESTON S L,THIEL D V.Base-station tracking in mobile communications using a switched parasitic antenna array[J].IEEE Transactions on Antennas and Propagation,1998,46(6):841-844.
[14] ZHANG Liying.Research on indoor wireless location algorithm basing on spherical antenna array[D].Beijing:Beijing University of Posts and Telecommunications,2019.(in Chinese)张丽颖.基于球形天线的室内无线定位算法研究[D].北京:北京邮电大学,2019.
[15] JANIS W,WANG J.Sectorized antenna-based DoA estimation and localization advanced algorithms and measurements[J].IEEE Journal on Selected Areas in Communications,2015,33(11):2272-2286.
[16] RICHARDS M A.Fundamentals of radar signal processing[M].2nd ed.Translated by XING Mengdao,WANG Tong,LI Zhenfang and others.Beijing:Publishing House of Electronics Industry,2017.(in Chinese) RICHARDS M A.雷达信号处理基础[M].2版.邢孟道,王彤,李真芳等译.北京:电子工业出版社,2017.
[17] MA Enlin.Probability theory and mathematical statistics[M].Beijing:People's Education Press,2006.(in Chinese)马恩林.概率论与数理统计[M].北京:人民教育出版社,2006.
[18] ZHANG Songlin,ZHANG Kun.Approximate computation of expectation and variance of nonlinear function of continuous random variable[J].Journal of Geodesy and Geodynamics,2008,28(4):107-110.(in Chinese)张松林,张昆.连续随机变量非线性函数的期望和方差的近似求法[J].大地测量与地球动力学,2008,28(4):107-110.
[19] JANASWAMY R.Angle and time of arrival statistics for the Gaussian scatter density model[J].IEEE Transactions on Wireless Communications,2002,1(3):488-497.
[20] MRAZOVAC B,BJELICA M Z.A human detection method for residential smart energy systems based on Zigbee RSSI changes[J].IEEE Transactions on Consumer Electronics,2012,58(3):819-824.
[21] ASH J N,POTTER L C.Sensor network localization via received signal strength measurements with directional antennas[C]//Proceedings of International Conference on Communication,Control and Computing.Washington D.C.,USA:IEEE Press,2004:1861-1870.
[22] TIAN Jie,HE Yuliang,CHEN Hong,et al.A fingerprint recognition algorithm based on similarity clustering[J].Science China Technological Sciences,2005,35(2):186-199.(in Chinese)田捷,何余良,陈宏,等.一种基于相似度聚类方法的指纹识别算法[J].中国科学E辑,2005,35(2):186-199.
[23] ZANG Chuanyu,SHEN Yong,ZHANG Yuhao,et al.Research on K-Means algorithm analysis and improvement[J].Computer Science and Application,2016,6(9):551-564.(in Chinese)藏传宇,沈勇,张宇昊,等.K-Means算法的研究分析及改进[J].计算机科学与应用,2016,6(9):551-564.

选择文件类型/文献管理软件名称

选择包含的内容