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加权多维标量的接收信号强度定位方法 被引量：4

Novel Weighted Multidimensional Scaling Method for Received Signal Strength Based Source Location
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摘要 本文提出了一种利用加权多维标度的基于接收信号强度的定位方法,利用信号接收强度与目标到接收机距离之间的关系,将信号接收强度转化为距离,利用多维标度框架对辐射源定位问题进行建模,对多维标度矩阵进行子空间分解,根据信号子空间与噪声子空间的正交性,可以得到定位参数的线性方程组,根据该线性方程组的残差的统计特性,得到定位参数的加权最小二乘解。计算机仿真验证了此方法具有较好的定位性能,在接收信号强度测量精度较高时,本方法能够达到CRB界,有较强的应用价值。 A RSS-based location method based on weighted multidimensional scaling is proposed in this paper. Based on the relation between received signal strength （RSS） and the distance from emitted source to the receiver, the distance infor- mation can be first obtained. Next, the source location can be modeled as multidimensional scaling and the multidimension- al scaling matrix can be decomposed by subspace method. According to the orthogonality of signal subspace and noise subspace, linear equations for location parameter can then be obtained. By using the statistical characteristic of the errors for the linear equations, the weighted least square solution for source location can be finally found. Computer simulation shows the efficiency and practicality for this method. The method can attain the CRB at moderate SNR.
作者 李万春
机构地区 电子科技大学
出处 《信号处理》 CSCD 北大核心 2013年第12期1713-1717,共5页 Journal of Signal Processing
基金 "中央高校基本科研业务费专项资金资助 No.ZYGX2009J016"~~
关键词 RSS定位 加权最小二乘法 多维标度 RSS-based Location, Weighted Least Square, Multidimensional Scaling
分类号 TN911 [电子电信—通信与信息系统]
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参考文献13

  • 1H. C. So and L. Lin, Linear least squares approach for accurate received signal strength based source localization [J ]. IEEE Transactions on Signal Processing, August 2011,59(8) : 4035-4040.
  • 2S. D. Chitte, S. Dasgupta, and Z. Ding, Distance esti- mation from received signal strength under log-normal shadowing: Bias and variance [ J]. IEEE Signal Process. Lett. , Mar. 2009, 16(3):216-218.
  • 3N. Patwari, A. O. Hero, III, M. Perkins, N. S. Correal, and R. J. O' Dea, Relative location estimation in wireless sen- sor networks [ J ]. IEEE Trans. Signal Process. , Aug. 2003,51 (8) :2137-2148.
  • 4X. Li, RSS-based location estimation with unknown path- loss model [ J ]. IEEE Trans. Wireless Commun. , Dec. 2006,12 : 3626-3633.
  • 5A. Coluccia and F. Ricciato, ON ML estimation for auto- matic RSS based indoor localization [ C ]. in Proc. IEEE Int. Symp. Wireless Pervasive Comput. , Modena, Italy,May 2010 : 495-502.
  • 6C. Meng, Z. Ding, and S. Dasgupta, A semidefinite pro- gramming approach to source localization in wireless sen- sor networks [ J ]. IEEE Signal Process. Lett. , 2008, 15:253-256.
  • 7R. W. Ouyang, A. K. -S. Wong, and C. -T. Lea, Received signal strength-based wireless localization via semidefinite programming: Noncooperative and cooperative schemes [J]. IEEE Trans. Veh. Technol. , Mar. 2010,59 (3) : 1307-1318.
  • 8K. W. Cheung and H. C. So, A multidimensional scal- ing framework for mobile location using time-of-arrival measurements [ J ]. IEEE Trans. Signal Processing, Feb. 2005, 53 (2) :460-470.
  • 9H. -W. Wei, Q. Wan,Z. -X. Chen, and S. -F. Ye, A no- vel weighted multidimensional scaling analysis for time-of- arrival-based mobile location [ J ]. IEEE Trans. Signal Processing,July 2008, 56(7) : 3018-3022.
  • 10H. C. So and K. W. Chan, A generalized subspace ap- proach for mobile positioning with time-of-arrival meas- urements [ J ]. IEEE Trans. Signal Processing, Oct. 2007,55 (10) :5103-5107.

二级参考文献13

  • 1郭秋英,胡振琪.GPS测码伪距绝对定位的几种算法[J].测绘科学,2005,30(5):26-27. 被引量：13
  • 2王新洲.非线性模型参数估计[M].武汉:武汉大学出版社,2002.
  • 3谢政,李建华,汤泽滢.非线性最优化[M].长沙:国防科技大学出版社,2006.
  • 4James Bao yen Tsui. Fundamentals of Global Positioning System Receivers: A software Approach [ M ]. New Jerssy: John Wiley & Sons, 2005: 7-23.
  • 5Reed J and Rappaport T. An Overview of the challenges and progress in meeting the E -911 Requirement for location Service [ J ]. IEEE Communication Magazine, 1998,4:30 -37.
  • 6Foy W H. Position location solutions by Taylor - Series estimation. IEEE Trans. on Acrospace and Electronic Systems,1976,AES - 12(2) : 187 - 193.
  • 7Chan Y T, Ho K C. A simple and efficient estimator for hyperbolic location. IEEE Trans. on Signal Processing,1994,Sp -42(8) :1905 - 1915.
  • 8Greenstein L J, et al. A new path-gain/delay spread propagation model for digital cellular channel[ J]. IEEE Transa. on VT, 1997, 46(2) : 177 -484.
  • 9房建成,申功勋,万德钧,周百令.GPS动态定位中自适应卡尔曼滤波研究[J].信号处理,1998,14(2):97-103. 被引量：5
  • 10白亿同.非线性最小二乘平差迭代解法的收敛性[J].武汉测绘科技大学学报,1991,16(2):92-95. 被引量：3

共引文献16

同被引文献25

  • 1Singhal D, Sharma M K, Garimella R M. Energy Effi- cient Localization of Primary Users for Avoiding Interfer- ence in Cognitive Networks [ C ]///Computer Communica- tion and Informatics (ICCCI), 2012 International Confer- ence on. IEEE, 2012: 1-5.
  • 2Werner J, Wang Jun, Hakkarainen A, et al. Primary User DOA and RSS Estimation in Cognitive Radio Networks U- sing Sectorized Antennas [ C ]//Cognitive Radio Oriented Wireless Networks (CROWNCOM), 2013 8th Interna- tional Conference on. IEEE, 2013:43-48.
  • 3Zhang Shengjin, Gao Shangchao, Wang Gang, et al. Ro- bust NLOS Error Mitigation Method for TOA Based Local- ization via Second-Order Cone Relaxation[ J]. Communi- cations Letters. IEEE, 2015:2210-2213.
  • 4Ghelichi A, Yelamarthi K, Abdelgawad A. Target localiza- tion in Wireless Sensor Network Based on Time Difference of Arrival[ C]//Circuits and Systems ( MWSCAS), 2013 IEEE 56th International Midwest Symposium on. IEEE, 2014.
  • 5Chatterjee S, Banerjee P, Nasipuri M. Enhancing Accu- racy of Localization for Primary Users in Cognitive Radio Networks [ C ]//Computational Intelligence and Networks (CINE), 2015 International Conference on. IEEE, 2015:74-79.
  • 6Panichcharoenrat T, Lee W. Two hybrid RSS/TOA Local- ization Techniques in Cognitive Radio System [ C ] // Knowledge and Smart Technology ( KST), 2014 6th In- ternational Conference on. IEEE, 2014:23-28.
  • 7Mankar P, Pathak S S, Rajakumar R V. A Cooperative Sec- ondary User Localization Based Primary User Localization Method for Cognitive Radio Networks[ C] //Communications (NCC), 2012 National Conference on. IEEE, 2012:1-5.
  • 8Chen Yanjun, Pan Quan, Liang Yah, et al. AWCL: A- daptive Weighted Centroid Target Localization Algorithm Based on RSSI in WSN [ C ]//Computer Science and In- formation Technology ( ICCSIT), 2010 3rd IEEE Interna- tional Conference on. IEEE, 2010:331-336.
  • 9Magowe K, Kandeepan S. Cooperative Blind Localization of Primary User in Cognitive Radio Environment [ C ]//Signal Processing and Communication Systems (ICSPCS), 2014 8th International Conference on. IEEE, 2014 : 1- 8.
  • 10Mucke E. Computing Prescriptions : Quickhull : Compu- ting Convex Hulls Quickly [ J ]. Science and Engineering, 2009:54-57.

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信号处理
2013年 第12期

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