航空学报 > 2017, Vol. 38 Issue (7): 320843-320843   doi: 10.7527/S1000-6893.2017.320843

WGS-84模型下时差频差半定规划定位算法

李万春1,2, 彭吴可1,3, 彭丽1, 马叶子1, 李英祥2   

  1. 1. 电子科技大学 电子工程学院 网络空间安全研究中心, 成都 611731;
    2. 成都信息工程大学 通信工程学院 气象信息与信号处理四川省高校重点实验室, 成都 610225;
    3. 清华大学 医学院, 北京 100084
  • 收稿日期:2016-10-12 修回日期:2016-11-28 出版日期:2017-07-15 发布日期:2017-04-01
  • 通讯作者: 李万春,E-mail:liwanchun@uestc.edu.cn E-mail:liwanchun@uestc.edu.cn
  • 基金资助:

    气象信息与信号处理四川省高校重点实验室基金

Semidefinite programming algorithm with TDOA and FDOA measurements based on WGS-84 earth model

LI Wanchun1,2, PENG Wuke1,3, PENG Li1, MA Yezi1, LI Yingxiang2   

  1. 1. Center for Cyber Security, School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;
    2. Meteorological Information and Signal Processing Key Laboratory of Sichuan Higher Education Institutes, School of Communication Engineering, Chengdu University of Information Technology, Chengdu 610225, China;
    3. School of Medicine, Tsinghua University, Beijing 100084, China
  • Received:2016-10-12 Revised:2016-11-28 Online:2017-07-15 Published:2017-04-01
  • Supported by:

    Meteorological Information and Signal Processing Key Laboratory of Sichuan Higher Education Institutes

摘要:

利用多颗卫星的时差频差对辐射源进行位置和速度的测量,其本质意义上是一个含有噪声项的高度非线性方程组求解问题,针对地面目标而言,可以采用基于WGS-84地球模型作为目标位置和速度约束,更进一步的增加了定位系统的复杂性。提出了一种基于半定规划(SDP)的定位解算法,将非线性方程求解问题通过适当的松弛,转化为半定优化(SDO)的问题,借助于业界较为成熟的CVX等优化软件进行定位求解,并研究了该模型条件下的克拉美罗下界(CRLB)。仿真结果表明,该算法能够较好地逼近克拉美罗下界。

关键词: WGS-84模型, 时差定位, 频差定位, 半定规划, 克拉美罗下界

Abstract:

In essence, detecting the location and velocity of a radiation source by utilizing time difference of arrival/frequency difference of arrival (TDOA/FDOA) for multiple satellites can be deemed as a highly nonlinear solution problem within noise. For a ground target, the WGS-84 earth model is the constraint condition, which makes the location system become more complicated. In this paper, a new algorithm for solving this location problem is proposed based on the semi-definite programming (SDP). Based on the novel algorithm, the nonlinear location problem can turn into a semidefinite optimization (SDO) by an appropriate relaxation which can be solved by some mature software like CVX. According to this model, the Cramer-Rao Lower Bound (CRLB) of the location problem is then given. The computer simulation demonstrates that the proposed algorithm can approach the CRLB effectively.

Key words: WGS-84 earth model, location by time difference of arrival, location by frequency difference of arrival, semidefinite programming, Cramer-Rao lower bound

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