电信科学 ›› 2024, Vol. 40 ›› Issue (3): 104-115.doi: 10.11959/j.issn.1000-0801.2024076
• 研究与开发 • 上一篇
毛晓婷, 吴晓平
修回日期:
2024-01-31
出版日期:
2024-03-01
发布日期:
2024-03-01
作者简介:
毛晓婷(2000- ),女,湖州师范学院信息工程学院硕士生,主要研究方向为无线传感器网络、最优化理论和MIMO雷达定位基金资助:
Xiaoting MAO, Xiaoping WU
Revised:
2024-01-31
Online:
2024-03-01
Published:
2024-03-01
Supported by:
摘要:
采用频率测量实现目标定位具有成本低、可靠性高的特点,仅利用到达频率差(frequency difference of arrival,FDOA)测量,提出了一种静态目标位置的精确定位方法。针对所建立的频率测量方程的高度非线性这一问题,通过引入辅助变量,将其转化为矩阵形式的伪线性方程;然后利用半正定松弛(semi-definite relaxation,SDR)方法将非凸的加权最小二乘(weighted least square,WLS)问题松弛为半正定规划(semidefinite programming,SDP)问题,从而进一步精确估计未知变量;最后对所提出方法的均方根误差(rootmean-square error,RMSE)进行了分析,以验证其性能。仿真结果表明,在较低的高斯噪声水平下,所采用的半正定松弛方法的性能能够达到克拉美罗下界(Cramer-Rao lower bound,CRLB),且该算法对几何形状具有较高的鲁棒性;此外,在使用较少数量的传感器时,其RMSE性能要优于两阶段加权最小二乘(two-stage weighted least square,TSWLS)法。
中图分类号:
毛晓婷, 吴晓平. 基于半正定松弛的到达频率差目标定位方法[J]. 电信科学, 2024, 40(3): 104-115.
Xiaoting MAO, Xiaoping WU. Target localization method based on semi-definite relaxation with frequency difference of arrival[J]. Telecommunications Science, 2024, 40(3): 104-115.
[1] | FEI Z S , LI B , YANG S S ,et al. A survey of multi-objective optimization in wireless sensor networks:metrics,algorithms,and open problems[J]. IEEE Communications Surveys & Tutorials, 2017,19(1): 550-586. |
[2] | 吴晓平, 华宇婷, 胡军国 ,等. 无线传感器网络中的线性移动目标运动参数捕获方法[J]. 传感技术学报, 2018,31(3): 463-470. |
WU X P , HUA Y T , HU J G ,et al. Capturing method of motion parameters for linear moving target in wireless sensor networks[J]. Chinese Journal of Sensors and Actuators, 2018,31(3): 463-470. | |
[3] | SHI Q , CUI X W , ZHAO S H ,et al. Sequential TOA-based moving target localization in multi-agent networks[J]. IEEE Communications Letters, 2020,24(8): 1719-1723. |
[4] | 徐城旭, 吴晓平, 王国英 ,等. 基于TDOA方法的无线传感器网络运动参数估计方法[J]. 传感技术学报, 2019,32(10): 1556-1562. |
XU C X , WU X P , WANG G Y ,et al. Time difference of arrival based estimation method for motion parameters in wireless sensor networks[J]. Chinese Journal of Sensors and Actuators, 2019,32(10): 1556-1562. | |
[5] | WANG G , HO K C , CHEN X J . Bias reduced semidefinite relaxation method for 3-D rigid body localization using AOA[J]. IEEE Transactions on Signal Processing, 2021(69): 3415-3430. |
[6] | KETABALIAN H , BIGUESH M , SHEIKHI A . A closed-form solution for localization based on RSS[J]. IEEE Transactions on Aerospace and Electronic Systems, 2020,56(2): 912-923. |
[7] | LIN Q M , MAO X T , WU X P . Moving object localization in distributed MIMO with clock and frequency offsets[J]. IEEE Sensors Journal, 2023,23(13): 14746-14757. |
[8] | NUHOGLU M A , KEMAL ALP Y , BAYRI A ,et al. A new iterative method for passive Doppler geolocation based on semidefinite programming[C]// Proceedings of the 2020 28th European Signal Processing Conference (EUSIPCO). Piscataway:IEEE Press, 2021: 1812-1816. |
[9] | 张杰, 王刚 . 无线传感器网络中基于TDOA/FDOA的增强半正定松弛定位算法研究[J]. 传感技术学报, 2018,31(12): 1912-1918. |
ZHANG J , WANG G . Enhanced semidefinite relaxation method for TDOA/FDOA-based source localization in wireless sensor networks[J]. Chinese Journal of Sensors and Actuators, 2018,31(12): 1912-1918. | |
[10] | MAHMED M , HO K C , WANG G . 3-D target localization and motion analysis based on Doppler shifted frequencies[J]. IEEE Transactions on Aerospace and Electronic Systems, 2022,58(2): 815-833. |
[11] | LIN D Y , WANG G , HO K C . Source localization by frequency measurements in unknown signal propagation speed environments[J]. IEEE Transactions on Aerospace and Electronic Systems, 2023,59(4): 3953-3970. |
[12] | WENG Y , XIAO W D , XIE L H . Total least squares method for robust source localization in sensor networks using TDOA measurements[J]. International Journal of Distributed Sensor Networks, 2011,7(1): 172902. |
[13] | HO K C . Bias reduction for an explicit solution of source localization using TDOA[J]. IEEE Transactions on Signal Processing, 2012,60(5): 2101-2114. |
[14] | LI J Z , GUO F C , JIANG W L . A linear-correction leastsquares approach for geolocation using FDOA measurements only[J]. Chinese Journal of Aeronautics, 2012,25(5): 709-714. |
[15] | HO K C , XU W W . An accurate algebraic solution for moving source location using TDOA and FDOA measurements[J]. IEEE Transactions on Signal Processing, 2004,52(9): 2453-2463. |
[16] | WANG Y L , WU Y . An efficient semidefinite relaxation algorithm for moving source localization using TDOA and FDOA measurements[J]. IEEE Communications Letters, 2017,21(1): 80-83. |
[17] | NOROOZI A , OVEIS A H , HOSSEINI S M ,et al. Improved algebraic solution for source localization from TDOA and FDOA measurements[J]. IEEE Wireless Communications Letters, 2018,7(3): 352-355. |
[18] | ZOU Y B , LIU H P , WAN Q . An iterative method for moving target localization using TDOA and FDOA measurements[J]. IEEE Access, 2017(6): 2746-2754. |
[19] | CHAN Y T , YAU CHIN HANG H , CHING P C . Exact and approximate maximum likelihood localization algorithms[J]. IEEE Transactions on Vehicular Technology, 2006,55(1): 10-16. |
[20] | ZHANG Y , HO K C . Multistatic moving object localization by a moving transmitter of unknown location and offset[J]. IEEE Transactions on Signal Processing, 2020(68): 4438-4453. |
[21] | WANG G , ZHENG R C , HO K C . Elliptic localization of a moving object by transmitter at unknown position and velocity:a semidefinite relaxation approach[J]. IEEE Transactions on Mobile Computing, 2023,22(5): 2675-2692. |
[22] | PEI Y H , LI X , YANG L ,et al. A closed-form solution for source localization using FDOA measurements only[J]. IEEE Communications Letters, 2023,27(1): 115-119. |
[23] | LI Y F , WANG G . Multistatic localization with unknown transmitter position and signal propagation speed[J]. IEEE Signal Processing Letters, 2022(29): 1427-1431. |
[24] | WU X , MAO X , QI H . Semidefinite Relaxation for Moving Target Localization in Asynchronous MIMO Systems[J]. IEEE Transactions on Communications,doi:10.1109/TCOMM.2023.3326492. |
WU X P , MAO X T , QI H N . Semidefinite relaxation for moving target localization in asynchronous MIMO systems[J]. IEEE Transactions on Communications, 2024,72(2): 1075-1089. | |
[25] | WU X P , SHEN Y N , ZHU X F ,et al. Semidefinite programming solutions for elliptic localization in asynchronous radar networks[J]. IEEE Transactions on Aerospace and Electronic Systems, 2022,58(4): 3385-3398. |
[1] | 管婉青, 刘诺言, 李卫, 付美霞, 张海君. 面向工业时敏业务的5G TSN融合网络切片资源调度[J]. 电信科学, 2024, 40(3): 53-63. |
[2] | 彭木根, 袁硕. 面向星地融合的6G云雾化自组网[J]. 电信科学, 2024, 40(3): 1-14. |
[3] | 姜静, 刘永强, 严冯洋, 陶莎, Worakrin Sutthiphan. 基于无线传播环境的无蜂窝大规模MIMO系统接入点部署优化[J]. 电信科学, 2024, 40(2): 11-21. |
[4] | 徐会彬. 联合功率控制和信道分配的蜂窝网络能效优化算法[J]. 电信科学, 2024, 40(2): 38-46. |
[5] | 宫剑, 石旭, 许巧春. 无线接入系统干扰规避检测方法研究[J]. 电信科学, 2024, 40(2): 56-62. |
[6] | 刘艺, 武昕. 面向温控负荷聚合调控的云边端网络资源分配[J]. 电信科学, 2024, 40(2): 124-140. |
[7] | 张叶江, 陈捷, 刘毅, 李行政, 李福秧, 胡坚. 一种降低城区网格道路5G重叠覆盖率的新方法[J]. 电信科学, 2024, 40(1): 83-91. |
[8] | 倪善金, 沈亮, 宁珊, 万辛. 6G无线通信物理层关键技术[J]. 电信科学, 2023, 39(12): 1-18. |
[9] | 刘胜利, 余官定. 免授权频段通信技术与未来频谱需求[J]. 电信科学, 2023, 39(12): 29-41. |
[10] | 杨蓓, 梁鑫, 尹航, 蒋峥, 佘小明. 基于自注意力机制的大规模MIMO信道状态信息特征向量反馈方法[J]. 电信科学, 2023, 39(11): 128-136. |
[11] | 汪汀岚, 高峰, 吕沛锦, 吴泰然, 李文丽. 5G远端干扰管理功能研究与智能网络优化[J]. 电信科学, 2023, 39(11): 145-152. |
[12] | 孙蕊蕊, 韩瑜, 金石, 王珏. 低复杂度超大规模MIMO无线传输设计研究[J]. 电信科学, 2023, 39(9): 87-96. |
[13] | 汪保友, 杨景涛, 姚赛彬, 叶海纳, 王志会, 张祺媛, 傅俊锋, 金泰石. 面向智慧园区的5G室内高精度定位技术研究[J]. 电信科学, 2023, 39(9): 163-173. |
[14] | 白恒志, 王海超, 李国鑫, 龚玉萍. 无人机隐蔽通信网络研究综述[J]. 电信科学, 2023, 39(8): 1-16. |
[15] | 闫俊杰, 朱亚新, 冯艳茹, 刘汉永, 邓钧忆, 王欢. 面向可伸缩视频编码传输的DDPG无人机服务增强机制[J]. 电信科学, 2023, 39(8): 69-81. |
阅读次数 | ||||||
全文 |
|
|||||
摘要 |
|
|||||
|