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1.中国人民解放军战略支援部队信息工程大学信息系统工程学院, 河南郑州 450001
2.中国人民解放军战略支援部队信息工程大学数据与目标工程学院, 河南郑州 450001
3.国家数字交换系统工程技术研究中心, 河南郑州 450002
4.卫华集团有限公司, 河南长垣 453400
Received:05 July 2021,
Revised:2021-11-04,
Published:25 May 2022
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王鼎,尹洁昕,郑娜娥等.信号传播速度未知下基于运动单站到达频率的定位新方法[J].电子学报,2022,50(05):1181-1191.
WANG Ding,YIN Jie-xin,ZHENG Na-e,et al.A FOA-Based Localization Method for Moving Single Station Under Unknown Signal Propagation Speed[J].ACTA ELECTRONICA SINICA,2022,50(05):1181-1191.
王鼎,尹洁昕,郑娜娥等.信号传播速度未知下基于运动单站到达频率的定位新方法[J].电子学报,2022,50(05):1181-1191. DOI: 10.12263/DZXB.20210852.
WANG Ding,YIN Jie-xin,ZHENG Na-e,et al.A FOA-Based Localization Method for Moving Single Station Under Unknown Signal Propagation Speed[J].ACTA ELECTRONICA SINICA,2022,50(05):1181-1191. DOI: 10.12263/DZXB.20210852.
基于运动单站到达频率的目标定位是一类重要定位技术,现有到达频率定位方法均认为信号传播速度精确已知,但在一些场景中传播速度可能无法准确获得,这会产生较大影响. 针对该问题,本文提出信号传播速度未知下基于运动单站到达频率的目标定位新方法,其包含两个阶段. 阶段1利用运动单站与目标间的几何关系构建第1组伪线性观测方程,并基于此提出目标位置和信号传播速度解耦合优化算法;阶段2从最初到达频率观测模型出发构建第2组伪线性观测方程,并将阶段1估计结果融入该观测方程,以获得全部参数闭式解. 新方法仅需对信号传播速度进行迭代,无需目标位置初始值,可降低局部收敛的风险. 最后,文中通过理论性能分析证明新方法的渐近统计最优性,并利用仿真实验验证新方法的优越性.
Target localization based on the frequency of arrival(FOA) observations for moving single station is an important location technology. All the existing FOA-based localization methods assume that the signal propagation speed is accurately known. However
in some positioning scenarios
the exact signal propagation speed may not be available
which will lead to negative influence. Aiming at this problem
this paper proposes a FOA-based localization method for moving single station with unknown signal propagation speed. The proposed method consists of two stages. Specifically
stage one constructs the first set of pseudo-linear equations based on the geometric relationship between the moving single station and the target
and then the target location and the signal propagation speed can be estimated in a decoupled manner. In stage two
the second set of pseudo-linear equations is formed from the original FOA measurement model
and the estimation results of stage one are incorporated into the second set of equations to obtain the closed-form solution to all the unknowns. The proposed method only performs iteration with respect to the signal propagation speed
and it does not need to choose the initial value of the source position. Hence
the risk of suffering from local convergence can be greatly reduced. Finally
the asymptotic efficiency of the proposed estimator is proved by theoretical performance analysis
and the superiority of the presented method is verified by some simulation experiments.
GOGINENI S , NEHORAI A . Target estimation using sparse modeling for distributed MIMO radar [J]. IEEE Transactions on Signal Processing , 2011 , 59 ( 11 ): 5315 ‑ 5325 .
LI S , DAKU B L F . Optimal amplitude weighting for near-field passive source localization [J]. IEEE Transactions on Signal Processing , 2011 , 59 ( 12 ): 6175 ‑ 6185 .
LIU C , ZAKHAROV Y V , CHEN T . Broadband underwater localization of multiple sources using basis pursuit de-noising [J]. IEEE Transactions on Signal Processing , 2012 , 60 ( 4 ): 1708 ‑ 1717 .
CHAN Y T , TOWERS J J . Passive localization from Doppler-shifted frequency measurements [J]. IEEE Transactions on Signal Processing , 1992 , 40 ( 10 ): 2594 ‑ 2598 .
陆安南 , 孔宪正 . 单星测频无源定位法 [J]. 通信学报 , 2004 , 25 ( 9 ): 160 ‑ 168 .
LU A N , KONG X Z . Passive localization from frequency measurements by single satellite [J]. Journal on Communications , 2004 , 25 ( 9 ): 160 ‑ 168 . (in Chinese)
AMAR A , WEISS A J . Localization of narrowband radio emitters based on doppler frequency shifts [J]. IEEE Transactions on Signal Processing , 2008 , 56 ( 11 ): 5500 ‑ 5508 .
王鼎 , 张刚 . 一种基于窄带信号多普勒频率测量的运动目标直接定位方法 [J]. 电子学报 , 2017 , 45 ( 3 ): 591 ‑ 598 .
WANG D , ZHANG G . A direct localization method for moving narrowband source based on Doppler frequency shifts [J]. Acta Electronica Sinica , 2017 , 45 ( 3 ): 591 ‑ 598 . (in Chinese)
WANG D , YIN J X , YU H Y . DPD algorithm for moving source based on Doppler frequency shifts: case of known waveforms [J]. Chinese Journal of Electronics , 2019 , 28 ( 5 ): 978 ‑ 986 .
AHMED M M , HO K C , WANG G . Localization of a moving source by frequency measurements [J]. IEEE Transactions on Signal Processing , 2020 , 68 ( 8 ): 4839 ‑ 4854 .
SUN Y M , WAN Q . Position determination for moving transmitter using single station [J]. IEEE Access , 2018 , 6 ( 10 ): 6 1103‑ 61116 .
HAO K , XUE Q X , LI C , et al . A hybrid localization algorithm based on Doppler shift and AOA for an underwater mobile node [J]. IEEE Access , 2020 , 8 ( 10 ): 181662 ‑ 181673 .
NGUYEN N H , DOĞANÇAY K . Closed-form algebraic solutions for three-dimensional Doppler-only source localization [J]. IEEE Transactions on Wireless Communications , 2018 , 17 ( 10 ): 6822 ‑ 6836 .
LUI K W K , MA W K , SO H C , et al . Semi-definite programming algorithms for sensor network node localization with uncertainties in anchor positions and/or propagation speed [J]. IEEE Transactions on Signal Processing , 2009 , 57 ( 2 ): 752 ‑ 763 .
DIAMANT R , LAMPE L . Underwater localization with time-synchronization and propagation speed uncertainties [J]. IEEE Transactions on Mobile Computing , 2013 , 12 ( 7 ): 1257 ‑ 1269 .
ZHENG J , LUI K W K , SO H C . Accurate three-step algorithm for joint source position and propagation speed estimation [J]. Signal Processing , 2007 , 87 ( 12 ): 3096 ‑ 3100 .
ZOU Y B , LIU H P . TDOA localization with unknown signal propagation speed and sensor position errors [J]. IEEE Communications Letters , 2020 , 24 ( 5 ): 1024 ‑ 1027 .
QI H N , WU X P , JIA L Q . Semidefinite programming for unified TDOA-based localization under unknown propagation speed [J]. IEEE Communications Letters , 2020 , 24 ( 9 ): 1971 ‑ 1975 .
ZHANG B B , HU Y C , WANG H Y , et al . Underwater source localization using TDOA and FDOA measurements with unknown propagation speed and sensor parameter errors [J]. IEEE Access , 2018 , 6 ( 7 ): 3 6645‑ 36661 .
TAN H P , DIAMANT R , SEAH W K G , et al . A survey of techniques and challenges in underwater localization [J]. Ocean Engineering , 2011 , 38 ( 10 ): 1663 ‑ 1676 .
VIBERG M , OTTERSTEN B . Sensor array processing based on subspace fitting [J]. IEEE Transactions on Signal Processing , 1991 , 39 ( 5 ): 1110 ‑ 1121 .
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