刘帅等：一种基于卷积神经网络的CSI指纹室内定位方法 1521· 4结论 (王旭东，吴楠，胡晴晴.多照明区域协作的室内可见光定位.光 电子激光，2017,28(4)：388) 本文提出了一种基于CNN的CSI指纹室内定 [11]Yang C C,Shao H R.WiFi-based indoor positioning.IEEE 位方法.在5GHz频段下，离线阶段将CSI的幅度 Commun Mag,2015,53(3):150 差和相位差信息联合作为指纹并采用CNN来提 [12]Khalajmehrabadi A,Gatsis N,Akopian D.Modern WLAN 取特征，将训练结束后的CNN网络模型保存作为 fingerprinting indoor positioning methods and deployment challenges.IEEE Commun Surv Tutorials,2017,19(3):1974 指纹数据库；在线阶段在测试点附近进行两次采 [13]Feng C,Au W S A,Valaee S,et al.Received-signal-strength- 样增加测试数据多样性，同时采用幅相加权与自 based indoor positioning using compressive sensing.IEEE Trans 适应概率算法进行位置坐标的估计，针对特别复 Mob Comput,2012,11(12上：1983 杂的室内场景，采用双AP来提高定位精度.通过 [14]Sohan AA,Ali M,Fairooz F,et al.Indoor Positioning Techniques 在两种场景(LOS,NLOS)下的定位测试实验，分别 using RSSI from Wireless Devices /2019 22nd International 获得了24.7cm和48.1cm的平均定位误差，实验 Conference on Computer and Information Technology (ICCIT) Dhaka,2019:1 结果表明本文所采用的方法可以实现较好的定位 [15]Bahl P,Padmanabhan V N.RADAR:An in-building RF-based 效果 user location and tracking system /Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies. 参考文献 Tel Aviv,2000:775 [1]He S N,Chan S H G.Wi-Fi fingerprint-based indoor positioning: [16]Youssef M,Agrawala A.The Horus location determination Recent advances and comparisons.IEEE Comm Sur Tutorials system.Wirel Nenworks,2008,14(3):357 2016.18(1):466 [17]Hoang M T,Yuen B,Dong X D,et al.Recurrent neural networks [2]Kuutti S,Fallah S,Katsaros K,et al.A survey of the state-of-the- for accurate RSSI indoor localization.IEEE Internet ThingsJ, art localization techniques and their potentials for autonomous 2019,6(6):10639 vehicle applications.IEEE Internet Things J,2018,5(2):829 [18]Wang X Y,Gao L J,Mao S W.CSI phase fingerprinting for [3]Torres-Sospedra J,Jimenez A,Moreira A,et al.Off-line indoor localization with a deep leamning approach.IEEE Internet evaluation of mobile-centric indoor positioning systems:The Things.,2016,3(6):1113 experiences from the 2017 IPIN competition.Sensors,2018 [19]Halperin D,Hu W J,Sheth A,et al.Predictable 802.11 packet 18(2):487 delivery from wireless channel measurements.SIGCOMM Compur [4]Zhang DQ,Zhao S J,Yang LT,et al.NextMe:localization using Commun Rev,.2010,40(4):159 cellular traces in Intemet of Things.IEEE Trans Ind Inf,2015, [20]Xie Y X.Li Z J,Li M.Precise power delay profiling with 11(2):302 commodity Wi-Fi.IEEE Trans Mob Comput,2019,18(6):1342 [5]Pak J M,Ahn C K,Shmaliy Y S,et al.Improving reliability of [21]Wu K S,Xiao J,Yi Y W,et al.CSI-based indoor localization. particle filter-based localization in wireless sensor networks via IEEE Trans Parallel Distributed Syst,2013,24(7):1300 hybrid particle/FIR filtering.IEEE Trans Ind Inf,2015,11(5): [22]Wu K S,Xiao J.Yi Y W,et al.FILA:Fine-grained indoor 1089 localization /2012 Proceedings IEEE INFOCOM.Orlando,2012: [6]Yassin A,Nasser Y,Awad M,et al.Recent advances in indoor 2210 localization:A survey on theoretical approaches and applications. [23]Wang X Y,Gao L J,Mao S W,et al.DeepFi:Deep learning for IEEE Commun Sury Tutorials,2017,19(2):1327 indoor fingerprinting using channel state information //2015 IEEE [] Faragher R.Harle R.Location fingerprinting with bluetooth low Wireless Communications and Networking Conference (WCNC). energy beacons.IEEE J Sel Areas Commun,2015,33(11):2418 New Orleans,2015:1666 [8]Meng Y,Xiao X F,Zhao K.An underground localization [24]Wang Y,Huang X D,Guo S T.Indoor fingerprint location algorithm and topology optimization based on ultra-wide band. algorithm based on convolutional neural network.J Sofieare, Chin J Eng,2018,40(6):743 2018,29 Suppl1y63 (孟宇，肖小凤，赵坤.基于UWB的地下定位算法和拓扑优化.工 (王英，黄旭东，郭松涛.基于卷积神经网络的室内指纹定位算 程科学学报，2018,40(6)：743) 法.软件学报，2018,29（增刊1）：63) [9]Choi H,Son ,Kim J,et al.RF-Based Indoor Locating System for [25]Wang X Y,Wang X Y,Mao S W.CiFi:Deep convolutional neural NLOS Environment /2010 24th IEEE International Conference networks for indoor localization with 5 GHz Wi-Fi /2017 /EEE on Advanced Information Networking and Applications.Perth, International Conference on Communications (ICC).Paris,2017: 2010:628 [10]Wang X D,Wu N,Hu QQ.Indoor visible light positioning based [26]Li H,Zeng X,Li Y,et al.Convolutional neural networks based on multiple illuminated areas cooperation.J Optoelectron Laser indoor Wi-Fi localization with a novel kind of CSI images.China 2017,28(4):388 Commmnications,2019.16(9)大：2504    结论 本文提出了一种基于 CNN 的 CSI 指纹室内定 位方法. 在 5 GHz 频段下，离线阶段将 CSI 的幅度 差和相位差信息联合作为指纹并采用 CNN 来提 取特征，将训练结束后的 CNN 网络模型保存作为 指纹数据库；在线阶段在测试点附近进行两次采 样增加测试数据多样性，同时采用幅相加权与自 适应概率算法进行位置坐标的估计. 针对特别复 杂的室内场景，采用双 AP 来提高定位精度. 通过 在两种场景（LOS，NLOS）下的定位测试实验，分别 获得了 24.7 cm 和 48.1 cm 的平均定位误差，实验 结果表明本文所采用的方法可以实现较好的定位 效果. 参    考    文    献 He S N, Chan S H G. Wi-Fi fingerprint-based indoor positioning: Recent advances and comparisons. IEEE Commun Surv Tutorials, 2016, 18（1）: 466 [1] Kuutti S, Fallah S, Katsaros K, et al. A survey of the state-of-the￾art  localization  techniques  and  their  potentials  for  autonomous vehicle applications. IEEE Internet Things J, 2018, 5（2）: 829 [2] Torres-Sospedra  J,  Jiménez  A,  Moreira  A,  et  al.  Off-line evaluation  of  mobile-centric  indoor  positioning  systems:  The experiences  from  the  2017  IPIN  competition. Sensors,  2018, 18（2）: 487 [3] Zhang D Q, Zhao S J, Yang L T, et al. NextMe: localization using cellular  traces  in  Internet  of  Things. IEEE Trans Ind Inf,  2015, 11（2）: 302 [4] Pak  J  M,  Ahn  C  K,  Shmaliy  Y  S,  et  al.  Improving  reliability  of particle  filter-based  localization  in  wireless  sensor  networks  via hybrid  particle/FIR  filtering. IEEE Trans Ind Inf,  2015,  11（5）: 1089 [5] Yassin  A,  Nasser  Y,  Awad  M,  et  al.  Recent  advances  in  indoor localization: A survey on theoretical approaches and applications. IEEE Commun Surv Tutorials, 2017, 19（2）: 1327 [6] Faragher  R,  Harle  R.  Location  fingerprinting  with  bluetooth  low energy beacons. IEEE J Sel Areas Commun, 2015, 33（11）: 2418 [7] Meng  Y,  Xiao  X  F,  Zhao  K.  An  underground  localization algorithm  and  topology  optimization  based  on  ultra-wide  band. Chin J Eng, 2018, 40（6）: 743 （孟宇, 肖小凤, 赵坤. 基于UWB的地下定位算法和拓扑优化. 工 程科学学报, 2018, 40（6）：743） [8] Choi H, Son S, Kim J, et al. RF-Based Indoor Locating System for NLOS  Environment  //  2010  24th IEEE International Conference on Advanced Information Networking and Applications.  Perth, 2010: 628 [9] Wang X D, Wu N, Hu Q Q. Indoor visible light positioning based on  multiple  illuminated  areas  cooperation. J Optoelectron Laser, 2017, 28（4）: 388 [10] （王旭东, 吴楠, 胡晴晴. 多照明区域协作的室内可见光定位. 光 电子·激光, 2017, 28（4）：388） Yang  C  C,  Shao  H  R.  WiFi-based  indoor  positioning. IEEE Commun Mag, 2015, 53（3）: 150 [11] Khalajmehrabadi  A,  Gatsis  N,  Akopian  D.  Modern  WLAN fingerprinting  indoor  positioning  methods  and  deployment challenges. IEEE Commun Surv Tutorials, 2017, 19（3）: 1974 [12] Feng  C,  Au  W  S  A,  Valaee  S,  et  al.  Received-signal-strength￾based  indoor  positioning  using  compressive  sensing. IEEE Trans Mob Comput, 2012, 11（12）: 1983 [13] Sohan A A, Ali M, Fairooz F, et al. Indoor Positioning Techniques using  RSSI  from  Wireless  Devices  //  2019  22nd International Conference on Computer and Information Technology (ICCIT). Dhaka, 2019: 1 [14] Bahl  P,  Padmanabhan  V  N.  RADAR:  An  in-building  RF-based user  location  and  tracking  system  // Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Tel Aviv, 2000: 775 [15] Youssef  M,  Agrawala  A.  The  Horus  location  determination system. Wirel Networks, 2008, 14（3）: 357 [16] Hoang M T, Yuen B, Dong X D, et al. Recurrent neural networks for  accurate  RSSI  indoor  localization. IEEE Internet Things J, 2019, 6（6）: 10639 [17] Wang  X  Y,  Gao  L  J,  Mao  S  W.  CSI  phase  fingerprinting  for indoor  localization  with  a  deep  learning  approach. IEEE Internet Things J, 2016, 3（6）: 1113 [18] Halperin  D,  Hu  W  J,  Sheth  A,  et  al.  Predictable  802.11  packet delivery from wireless channel measurements. SIGCOMM Comput Commun Rev, 2010, 40（4）: 159 [19] Xie  Y  X,  Li  Z  J,  Li  M.  Precise  power  delay  profiling  with commodity Wi-Fi. IEEE Trans Mob Comput, 2019, 18（6）: 1342 [20] Wu  K  S,  Xiao  J,  Yi  Y  W,  et  al.  CSI-based  indoor  localization. IEEE Trans Parallel Distributed Syst, 2013, 24（7）: 1300 [21] Wu  K  S,  Xiao  J,  Yi  Y  W,  et  al.  FILA:  Fine-grained  indoor localization // 2012 Proceedings IEEE INFOCOM. Orlando, 2012: 2210 [22] Wang X Y, Gao L J, Mao S W, et al. DeepFi: Deep learning for indoor fingerprinting using channel state information //2015 IEEE Wireless Communications and Networking Conference (WCNC). New Orleans, 2015: 1666 [23] Wang  Y,  Huang  X  D,  Guo  S  T.  Indoor  fingerprint  location algorithm  based  on  convolutional  neural  network. J Software, 2018, 29(Suppl 1): 63 （ 王英, 黄旭东, 郭松涛. 基于卷积神经网络的室内指纹定位算 法. 软件学报, 2018, 29(增刊1): 63） [24] Wang X Y, Wang X Y, Mao S W. CiFi: Deep convolutional neural networks for indoor localization with 5 GHz Wi-Fi // 2017 IEEE International Conference on Communications (ICC). Paris, 2017: 1 [25] Li  H,  Zeng  X,  Li  Y,  et  al.  Convolutional  neural  networks  based indoor Wi-Fi localization with a novel kind of CSI images. China Communications, 2019, 16（9）: 250 [26] 刘    帅等： 一种基于卷积神经网络的 CSI 指纹室内定位方法 · 1521 ·