基于TDOA与GROA的多运动站误差配准算法

孙顺; 董凯; 齐林; 刘俊

doi:10.11999/JEIT160562

基于TDOA与GROA的多运动站误差配准算法

doi: 10.11999/JEIT160562

孙顺¹,
董凯¹,
齐林¹,
刘俊¹

基金项目:

国家自然科学基金(61471379, 61102166, 91538201)

计量
- 文章访问数: 1318
- HTML全文浏览量: 140
- PDF下载量: 259
- 被引次数: 0
出版历程
- 收稿日期: 2016-05-28
- 修回日期: 2017-05-02
- 刊出日期: 2017-06-19

Multiple Moving Observers Registration Algorithm Based on TDOA and GROA

Funds:

The National Natural Science Foundation of China (61471379, 61102166, 91538201)

摘要

摘要: 针对多运动站无源定位过程中存在系统误差的问题，该文提出一种基于到达时差(TDOA)与到达增益比(GROA)最小二乘配准算法。该算法利用泰勒展开把非线性的量测方程线性化，利用最小二乘算法得到对目标状态和系统误差的联合估计，并考虑了量测噪声和站址误差的影响。同时推导了存在量测噪声、站址误差和系统误差时的克拉美罗下界(CRLB)，并分析了系统误差对CRLB的影响。多种条件下的仿真表明，该算法对系统误差和目标状态的估计精度较高，说明了算法的有效性。
- 无源定位 /
- 误差配准 /
- 多运动站 /
- 到达时差 /
- 到达增益比
Abstract: This paper proposes a least-squares registration algorithm using Time Differences Of Arrival (TDOA) and Gain Ratios Of Arrival (GROA) measurements to solve the problem of multiple moving observers passive localization under the influence of system error. The proposed algorithm linearizes the nonlinear measurement equation by Taylor expansion, executes least squares algorithm for the joint estimation of target state and system biases, and considers the influence of measurement noise and location errors of observers. Meanwhile Cramr-Rao Lower Bound (CRLB) under the influence of measurement noise, location errors of observers and system biases is derived, and the influence of system error on CRLB is analyzed. Simulations under several different conditions indicate the proposed algorithm is valid, which can effectively estimate the system biases and target state.
- Passive localization /
- Registration /
- Multiple moving observers /
- Time Differences Of Arrival (TDOA) /
- Gain Ratios Of Arrival (GROA)

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参考文献(24)

何友, 修建娟, 张晶炜, 等. 雷达数据处理及应用 [M]. 第2版, 北京: 电子工业出版社, 2009: 209-210.

HE You, XIU Jianjuan, ZHANG Jingwei, et al. Radar Data Processing With Applications [M]. Second Edition, Beijing: Publishing House of Electronics Industry, 2009: 209-210.

CHEN J C, YIP L, ELSON J, et al. Coherent acoustic array processing and localization on wireless sensor networks[J]. Proceedings of the IEEE, 2003, 91(8): 1154-1162. doi: 10.1109/ JPROC.2003.814924.

房嘉奇, 冯大政, 李进. 稳健收敛的时差频差定位技术[J]. 电子与信息学报, 2015, 37(4): 798-803. doi: 10.11999/ JEIT140560.

FANG Jiaqi, FENG Dazheng, and LI Jin. A robustly convergent algorithm for source localization using time difference of arrival and frequency difference of arrival[J]. Journal of Electronics Information Technology, 2015, 37(4): 798-803. doi: 10.11999/JEIT140560.

HATEM H and KUTLUYIL D. Passive localization of scanning emitters[J]. IEEE Transactions on Aerospace and Electronic Systems, 2010, 46(2): 944-951. doi: 10.1109/TAES. 2010.5461671.

HO K C and SUN M. Passive source localization using time differences of arrival and gain ratios of arrival[J]. IEEE Transactions on Signal Processing, 2008, 56(2): 464-477. doi: 10.1109/TSP.2007.906728.

ZHU Hongyan and WANG Chen. Joint track-to-track association and sensor registration at the track level[J]. Digital Signal Processing, 2015, 41: 48-59. doi: 10.1016/j.dsp. 2015.03.012.

董凯, 王海鹏, 刘瑜. 基于拓扑统计距离的航迹抗差关联算法[J]. 电子与信息学报, 2015, 37(1): 50-55. doi: 10.11999/ JEIT140244.

DONG Kai, WANG Haipeng, and LIU Yu. Anti-bias track association algorithm based topology statistical distance[J]. Journal of Electronics Information Technology, 2015, 37(1): 50-55. doi: 10.11999/JEIT140244.

胡振涛, 胡玉梅, 张瑾, 等. 基于CKF的系统误差与目标状态联合估计算法[J]. 光电子激光, 2015, 26(3): 535-540. doi: 10.16136/j.joel.2015.03.0500.

HU Zhentao, HU Yumei, Zhang Jin, et al. Joint estimation of system error and state based on cubature Kalman filter[J]. Journal of Optoelectronics Laser, 2015, 26(3): 535-540. doi: 10.16136/j.joel.2015.03.0500.

NICKENS O and BRANKO R. Maximum likelihood registration for multiple dissimilar sensors[J]. IEEE Transactions on Aerospace and Electronic Systems, 2003, 39(3): 1074-1083. doi: 10.1109/TAES.2003.1238759.

吴卫华, 江晶. WGS-84坐标系下多空基无源传感器最大似然配准[J]. 系统工程与电子技术, 2015, 37(2): 304-309. doi: 10.3969/j.issn.1001-506X.2015.02.12.

WU Weihua and JIANG Jing. Maximum likelihood registration for passive sensors of multiple airborne platforms in WGS-84[J]. Systems Engineering and Electronics, 2015, 37(2): 304-309. doi: 10.3969/j.issn.1001-506X.2015.02.12.

董云龙, 何友, 王国宏, 等. 基于ECEF的广义最小二乘误差配准技术[J]. 航空学报, 2006, 27(3): 463-467.

DONG Yunlong, HE You, WANG Guohong, et al. Generalized least squares registration algorithm with Earth-Centered Earth-Fixed (ECEF) corrdinate system[J]. Acta Aeronautica Et Astronautica Sinica, 2006, 27(3): 463-467.

曲长文, 王昌海, 徐征. 基于NLS的多机只测角误差配准算法[J]. 信号处理, 2012, 28(4): 533-538.

QU Changwen, WANG Changhai, and XU Zheng. NLS-based registration algorithm for bearings-only location by multiple airborne observers[J]. Signal Processing, 2012, 28(4): 533-538.

CHAN Y T and RUDNICKI S W. Bearings-only and doppler-bearing tracking using instrumental variables[J]. IEEE Transactions on Aerospace and Electronic Systems, 1992, 28(4): 1076-1082.

MOTTI G and ELI F. Effect of bias on bearing-only target location[J]. IEEE Transactions on Aerospace and Electronic Systems, 1990, 26(1): 22-25. doi: 10.1109/7.53410.

HO K C, LU Xiaoning, and KOVAVISARUCH L. Source localization using TDOA and FDOA measurements in the presence of receiver location errors analysis and solution[J]. IEEE Transactions on Signal Processing, 2007, 55(2): 684-696. doi: 10.1109/TSP.2006.885744.

张贤达. 矩阵分析与应用 [M]. 第2版, 北京: 清华大学出版社, 2013: 54-61.

ZHANG Xianda. Matrix Analysis and Applications [M]. Second Edition, Beijing: Tsinghua University Press, 2013: 54-61.

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