| 基于目标高度先验信息的多站时差无源定位方法 |
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| 引用本文： | 秦兆涛, 王俊, 魏少明, 毕严先, 魏子翔. 基于目标高度先验信息的多站时差无源定位方法[J]. 电子与信息学报, 2018, 40(9): 2219-2226. doi: 10.11999/JEIT171231 |
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| 作者姓名： | 秦兆涛 王俊 魏少明 毕严先 魏子翔 |
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| 作者单位： | 1.北京航空航天大学电子信息工程学院 北京 100191;;2.中国电子科技集团电子科学研究院 北京 100041 |
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| 基金项目： | 国家自然科学基金(61501011, 61501012, 61671035) |
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| 摘 要： | 该文针对利用多站到达时差观测量的辐射源目标定位问题，已知目标高度先验信息，提出一种基于加权最小二乘的闭式高精度定位方法。近距离场景下，可忽略地球曲率影响，此时目标高度信息可等效为目标的1维坐标。基于该条件，使用一种新的两步加权最小二乘算法实现对目标的定位解算。该算法不需要目标位置初始值估计，无需迭代运算，计算量较小。仿真表明：利用目标高度先验信息可有效提高对目标的定位精度；在观测量噪声为高斯噪声且功率较小时，算法定位性能可达到克拉美罗界。
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| 关 键 词： | 无源定位 到达时差 目标高度 定位精度 克拉美罗界 |
| 收稿时间： | 2017-12-26 |
| 修稿时间： | 2018-05-15 |
Passive Localization Using TDOA Measurements from Multiple Sensors Based on Priori Knowledge of Target Altitude |
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| Zhaotao QIN, Jun WANG, Shaoming WEI, Yanxian BI, Zixiang WEI. Passive Localization Using TDOA Measurements from Multiple Sensors Based on Priori Knowledge of Target Altitude[J]. Journal of Electronics & Information Technology, 2018, 40(9): 2219-2226. doi: 10.11999/JEIT171231 |
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| Authors: | Zhaotao QIN Jun WANG Shaoming WEI Yanxian BI Zixiang WEI |
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| Affiliation: | 1. School of Electronics and Information Engineering, Beihang University, Beijing 100191, China;;2. Institute of Electronic Sciences, Chinese Electronics Technology Group Corporation, Beijing 100041, China |
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| Abstract: | To solve the problem of radiant target localization using Time Difference Of Arrival (TDOA) measurements from multiple sensors, an algebraic closed-form method based on Weighted Least Squares (WLS) minimizations is proposed, with the priori knowledge of target altitude. In near distance scenario, neglecting the effect of earth curvature, the target altitude can be regarded as one-dimensional coordinate of the target. Based on this condition, the target position is solved by a new two-step WLS algorithm. It does not require initial solution guess, and is computationally attractive due to the non-iterative operation. Simulation results show that the target localization accuracy is greatly improved using target altitude, and the proposed method can reach Cramer-Rao Lower Bound (CRLB) accuracy under small Gaussian measurement noise. |
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| Keywords: | Passive localization Time Difference Of Arrival (TDOA) Target altitude Localization accuracy Cramer-Rao Lower Bound (CRLB) |
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