A New Method of the Virtual TDOA Estimation for the Passive Radar Source Localization Based on PSAAA

被引:0
|
作者
Wan, Pengwu [1 ]
Li, Zan [1 ]
Hao, Benjian [1 ]
Liu, Boyang [1 ]
Zhu, Jianfeng [2 ]
机构
[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China
[2] Sci & Technol Commun Informat Secur Control Lab, Jiaxing 314033, Zhejiang, Peoples R China
关键词
Passive Localization; Virtual Time Differences of Arrival; Passive Synthetic Aperture Antenna Array; Curve Fitting; Radar; TIME DIFFERENCE; ARRIVAL;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The passive synthetic aperture antenna array (P-SAAA) technology is inspired by the idea of synthetic aperture sonar and synthetic aperture radar, which is a new method used to the passive radar source localization using only one small aircraft. Virtual time difference of arrival (VTDOA) estimation is critical for the PSAAA technology, it is defined as the time difference of the radar pulse transmission from the radar source position to different virtual receivers, where the virtual receivers are the flight track position of the small aircraft at different flight time. In this paper, we present three different algorithms of curve fitting to approximate the main-beam pattern of the radar antenna, then the VTDOA can be estimated using the corresponding time of the peak of the curve. The simulation results show that the second-order polynomial of the least squares (LS) curve fitting algorithm is the optimal method to approximate the main beam pattern of the radar antenna at the receiver, which also is the optimal method to be used in the VTDOA estimation.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Passive Localization using TDOA Based on Improved Zebra Optimization Algorithm
    Liao, Yanping
    Wang, Yongpeng
    2024 9TH INTERNATIONAL CONFERENCE ON ELECTRONIC TECHNOLOGY AND INFORMATION SCIENCE, ICETIS 2024, 2024, : 391 - 395
  • [42] Improvement of Software Defined Radio based TDOA source localization
    Wei, Junming
    Yu, Changbin
    IECON 2014 - 40TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2014, : 5307 - 5313
  • [43] Robust TDOA-Based Localization for IoT via Joint Source Position and NLOS Error Estimation
    Wang, Gang
    Zhu, Weichen
    Ansari, Nirwan
    IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (05) : 8529 - 8541
  • [44] Source Localization Based on Hybrid AOA, TDOA, and RSS Measurements
    Zou, Yanbin
    Wu, Wenbo
    Zhang, Zekai
    IEEE SENSORS JOURNAL, 2023, 23 (14) : 16293 - 16302
  • [45] Semidefinite programming approach for TDOA/GROA based source localization
    Yanshen Du
    Ping Wei
    Huaguo Zhang
    JournalofSystemsEngineeringandElectronics, 2015, 26 (04) : 680 - 687
  • [46] Source Localization using TDOA Based on Improved Snake Optimizer
    Liao, Yanping
    Wang, Yongpeng
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2024, 43 (08) : 5237 - 5261
  • [47] Semidefinite programming approach for TDOA/GROA based source localization
    Du, Yanshen
    Wei, Ping
    Zhang, Huaguo
    JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2015, 26 (04) : 680 - 687
  • [48] Robust Acoustic Source Localization with TDOA Based RANSAC Algorithm
    Li, Peihua
    Ma, Xianzhe
    EMERGING INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS, PROCEEDINGS, 2009, 5754 : 222 - 227
  • [49] A Bias-Reduced Nonlinear WLS Method for TDOA/FDOA-Based Source Localization
    Wang, Gang
    Cai, Shu
    Li, Youming
    Ansari, Nirwan
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2016, 65 (10) : 8603 - 8615
  • [50] TDOA/FDOA estimation method based on dechirp
    Guo, Fuyang
    Zhang, Zijing
    Yang, Linsen
    IET SIGNAL PROCESSING, 2016, 10 (05) : 486 - 492