Elevation-Dependent Stochastic Localization Algorithm for GNSS-based Passive Radar

YANG Dongkai; TAN Chuanrui; WANG Feng; LI Tang

doi:10.11999/JEIT230462

Volume 46 Issue 4

Apr. 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(4): 1373-1381

YANG Dongkai, TAN Chuanrui, WANG Feng, LI Tang. Elevation-Dependent Stochastic Localization Algorithm for GNSS-based Passive Radar[J]. Journal of Electronics & Information Technology, 2024, 46(4): 1373-1381. doi: 10.11999/JEIT230462

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YANG Dongkai, TAN Chuanrui, WANG Feng, LI Tang. Elevation-Dependent Stochastic Localization Algorithm for GNSS-based Passive Radar[J]. Journal of Electronics & Information Technology, 2024, 46(4): 1373-1381. doi: 10.11999/JEIT230462

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Elevation-Dependent Stochastic Localization Algorithm for GNSS-based Passive Radar

doi: 10.11999/JEIT230462

1.
School of Electronic and Information Engineering, Beihang University, Beijing 100191, China
2.
SHENYUAN Honors College, Beihang University, Beijing 100191, China

Received Date: 2023-05-22
Rev Recd Date: 2023-09-01

Available Online: 2023-09-05

Publish Date: 2024-04-24

Abstract

Abstract

An elevation-dependent stochastic localization algorithm is proposed to address the problem of different satellites contributing differently to the localization error in Global Navigation Satellite System (GNSS)-based passive radar. Herein, the Cramer-Rao Lower Bound (CRLB) and statistical characteristics of the target position estimator are theoretically analyzed, and the contributions of satellite position and ground-station position errors to passive localization error are calculated. Simulation results show that the proposed algorithm can reasonably distribute the error from the pseudo-range measurements of multiple GNSS satellites with different directions and reflective paths. The localization performance reaches the CRLB but will not deteriorate considerably due to a change in the star selection scheme. Analysis of the ground-station position and satellite position errors show that their contributions to the total positioning error can be ignored if the standard deviation of the ground-station position is less than 10 cm and that of the satellite position is less than 1 km.
- Elevation-dependent stochastic model,
- Global Navigation Satellite System (GNSS),
- Passive Localization,
- Cramer-Rao Lower Bound (CRLB)

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References(16)

References

[1]	GRIFFITHS H D. From a different perspective: Principles, practice and potential of bistatic radar[C]. 2003 Proceedings of the International Conference on Radar, Adelaide, Australia, 2023: 1–7.
[2]	王文钦, 陈慧, 郑植, 等. 频控阵雷达技术及其应用研究进展[J]. 雷达学报, 2018, 7(2): 153–166. doi: 10.12000/JR18029. WANG Wenqin, CHEN Hui, ZHENG Zhi, et al. Advances on frequency diverse array radar and its applications[J]. Journal of Radars, 2018, 7(2): 153–166. doi: 10.12000/JR18029.
[3]	李刚. 新体制雷达及其关键技术[J]. 电子技术与软件工程, 2019(15): 60–62. LI Gang. New system radar and its key technologies[J]. Electronic Technology &Software Engineering, 2019(15): 60–62.
[4]	戴文瑞, 王锐, 魏巍. 基于5G基站信号的被动雷达无源定位方法分析[J]. 舰船电子工程, 2022, 42(3): 81–83,141. doi: 10.3969/j.issn.1672-9730.2022.03.018. DAI Wenrui, WANG Rui, and WEI Wei. Analysis of passive radar passive location method based on 5G base station signal[J]. Ship Electronic Engineering, 2022, 42(3): 81–83,141. doi: 10.3969/j.issn.1672-9730.2022.03.018.
[5]	TIAN Minghui, WANG Yaqing, WANG Lu, et al. Experimental research on an FM broadcast based T^NR passive radar system[C]. IET International Radar Conference (IET IRC 2020), 2020: 1330–1336.
[6]	MARTELLI T, CABRERA O, COLONE F, et al. Exploitation of long coherent integration times to improve drone detection in DVB-S based passive radar[C]. 2020 IEEE Radar Conference (RadarConf20), Florence, Italy, 2020: 1–6.
[7]	苗铎, 杨东凯, 许志超, 等. GNSS外辐射源雷达低慢小目标探测概率[J]. 北京航空航天大学学报, 2023, 49(3): 657–664. doi: 10.13700/j.bh.1001-5965.2021.0271. MIAO Duo, YANG Dongkai, XU Zhichao, et al. Low-altitude, slow speed and small target detection probability of passive radar based on GNSS signals[J]. Journal of Beijing University of Aeronautics and Astronautics, 2023, 49(3): 657–664. doi: 10.13700/j.bh.1001-5965.2021.0271.
[8]	MA Hui, ANTONIOU M, STOVE A G, et al. Maritime moving target localization using passive GNSS-based multistatic radar[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(8): 4808–4819. doi: 10.1109/TGRS.2018.2838682.
[9]	NASSO I and SANTI F. A centralized approach for ship target detection and localization with multi-transmitters GNSS-based passive radar[C]. International Conference on Radar Systems (RADAR 2022), Edinburgh, UK, 2022: 202–207.
[10]	闫攀, 栗强强, 闫会峰. 基于北斗卫星外辐射源的目标直接定位算法[J]. 无线电工程, 2023, 53(2): 410–416. doi: 10.3969/j.issn.1003-3106.2023.02.019. YAN Pan, LI Qiangqiang, and YAN Huifeng. Direct position determination of moving target using BeiDou satellite external illuminators[J]. Radio Engineering, 2023, 53(2): 410–416. doi: 10.3969/j.issn.1003-3106.2023.02.019.
[11]	GRONOWSKI K, SAMCZYŃSKI P, STASIAK K, et al. First results of air target detection using single channel passive radar utilizing GPS illumination[C]. 2019 IEEE Radar Conference (RadarConf), Boston, USA, 2019: 1–6.
[12]	边少锋, 刘一, 纪兵, 等. 北斗三号卫星观测信息高度角相关随机模型统计特性分析[J]. 武汉大学学报:信息科学版, 2022, 47(10): 1615–1624. doi: 10.13203/j.whugis20220021. BIAN Shaofeng, LIU Yi, JI Bing, et al. Analysis of statistic testing of elevation-dependent stochastic models of BDS-3 satellite observation[J]. Geomatics and Information Science of Wuhan University, 2022, 47(10): 1615–1624. doi: 10.13203/j.whugis20220021.
[13]	LI Bofeng, LOU Lizhi, and SHEN Yunzhong. GNSS elevation-dependent stochastic modeling and its impacts on the statistic testing[J]. Journal of Surveying Engineering, 2016, 142(2): 04015012. doi: 10.1061/(ASCE)SU.1943-5428.0000156.
[14]	孙鹏. 几种随机模型对北斗定位精度影响研究[J]. 矿山测量, 2021, 49(3): 94–98. doi: 10.3969/j.issn.1001-358X.2021.03.019. SUN Peng. Study on the influence of several stochastic models on Beidou positioning accuracy[J]. Mine Surveying, 2021, 49(3): 94–98. doi: 10.3969/j.issn.1001-358X.2021.03.019.
[15]	AKHMEDOV D S and RASKALIYEV A S. Localization of an air target by means of GNSS-based multistatic radar[J]. AIP Conference Proceedings, 2016, 1759(1): 020127. doi: 10.1063/1.4959741.
[16]	刘琳. GNSS观测值精度估计及随机模型精化方法研究[D]. 武汉: 武汉大学, 2019. LIU Lin. Research on method of GNSS observation precision estimation and stochastic model refinement[D]. [Master dissertation], Wuhan University, 2019.