航空学报 > 2011, Vol. 32 Issue (7): 1269-1274   doi: CNKI:11-1929/V.20101228.1347.006

一种多点定位的目标位置精确解算方法

王洪1, 刘昌忠2, 汪学刚1, 吴宏刚2   

  1. 1. 电子科技大学 电子工程学院, 四川 成都 611731;
    2. 中国民用航空局第二研究所, 四川 成都 610041
  • 收稿日期:2010-07-21 修回日期:2010-09-30 出版日期:2011-07-25 发布日期:2011-07-23
  • 作者简介:王洪(1974- ) 男,博士后。主要研究方向:多点定位、MIMO 雷达、无源探测及高速实时信号处理。 Tel: 028-61830708 E-mail: whtoyou@163.com
  • 基金资助:

    国家自然科学基金 (61079006);国家"863"计划(2009AA12Z329)

An Accurate Target Localization Method for Multilateration

WANG Hong1, LIU Changzhong2, WANG Xuegang1, WU Honggang2   

  1. 1. School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;
    2. The Second Research Institution of Civil Aviation Administration of China, Chengdu 610041, China
  • Received:2010-07-21 Revised:2010-09-30 Online:2011-07-25 Published:2011-07-23

摘要: 多点定位是民航飞机导航系统的新技术,精确的目标位置解算方法是多点定位的关键。通过设定参考站和变换,将非线性到达时间(TOA)方程组转化为线性到在时间差(TDOA)方程组,提出了一种两步求解目标位置的闭式算法。首先忽略TDOA测量误差,获得了目标位置的粗解,在粗解的基础上做泰勒级数展开,克服了未知量不独立对精度的影响,再采用最优线性无偏估计(BLUE)估计算法,得到了精确的目标位置,几何稀释精度(GDOP)分布特性显著提高。对估计算法的克莱美-罗界分析和仿真结果表明,所提出的基于部分泰勒级数展开的BLUE算法的精度逼近克莱美-罗界。

关键词: 空中交通管制, 多点定位, 几何稀释精度, 克莱美-罗界, 最优线性无偏估计

Abstract: Multilateration is a novel and popular technology in civil aircraft navigation. The precise algorithm to calculate target location is the key of multilateration. By setting the reference station and using corresponding transform, the nonlinear TOA equations are transferred into linear TDOA equations. After that a two-steps closed-form algorithm to calculate target position is proposed in this paper. Ignoring the TDOA measurement errors, we can obtain the initial results first. Then Taylor expansion is exploited based on initial results to overcome the dependent relationship between unknown variables. Finally, accurate target location is estimated by BLUE method. The GDOP performance of the new algorithm is apparently improved. Cramer-Rao bound of this algorithm is derived and the simulation results show that accuracy of the BLUE method based on partly Taylor expansion is approximately equal to Cramer-Rao bound.

Key words: air traffic control, multilateration, geometric dilution of precision, Cramer-Rao bound, best linear unbiased estimator

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