临近空间平台辅助的超低空目标无源跟踪算法

Abstract

Abstract:

A novel near-space platform aided passive location method for super-low-altitude targets using TDOA is proposed. The new method uses a near-space platform as the baseline in the height to form a redundant location system consisting of several subsystems. Each subsystem can obtain a set of location results with ambiguity. After eliminating the ambiguity by the nearest matching, the new method can improve the location accuracy in the whole observed airspace by SWLS fusion. A better tracking performance can be achieved by applying this method to starting the tracking for super-low-altitude targets and keeping the tracking through UKF. Simulation results show that the proposed method comes to stabilization within 50 s and that its tracking initial error can be reduced to the hectometer level with the measurement precision of 20 ns. But the traditional method requires 250 s to go to stabilization and its tracking initial error is greater than the kilometer level.

Key words: tracking, passive location, Kalman filtering, TDOA, super-low-altitude targets

CLC Number:

TN971

NIU Xin-liang1;ZHAO Guo-qing1;LIU Yuan-hua2;CHANG Hong1. Near-space platform aided passive tracking algorithm for super-low-altitude targets[J].J4, 2009, 36(3): 438-442.

References

［1］赵国庆. 雷达对抗原理［M］. 西安: 西安电子科技大学出版社, 1999.
［2］温中武, 宋阔益. 电子对抗中无源雷达的地位和发展前景［J］. 国防科技, 2007(9): 14-18.
［3］Ho K C, Chan Y T. Solution and Performance Analysis of Geolocation by TDOA［J］. IEEE Trans on Aerospace and Electronic System, 1993, 29(4): 1311-1322.
［4］杨林, 周一宇, 孙仲康. TDOA被动定位方法及精度分析［J］. 国防科技大学学报, 1998, 20(2): 49-53.
Yang Lin, Zhou Yiyu, Sun Zhongkang. TDOA Passive Location and Accuracy Analysis［J］. Journal of National University of Defense Technology, 1998, 20(2): 49-53.
［5］张正明, 杨绍全, 张守宏. 平面时差定位精度分析［J］. 西安电子科技大学学报, 2000, 27(1): 13-16.
Zhang Zhengming, Yang Shaoquan, Zhang Shouhong. 2D Location Accuracy Analysis Using TDOA［J］. Journal of Xidian University. 2000, 27(1): 13-16.
［6］陈玲, 李少洪. 可消除定位模糊的无源时差定位算法［J］. 北京航空航天大学学报, 2005, 31(1): 89-93.Chen Ling, Li Shaohong. Passive TDOA Location Algorithm for Eliminating Location Ambiguity［J］. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(1): 89-93.
［7］兰俊杰, 任寿亭, 邓光海. 飞艇的信息战应用研究［J］. 航天电子对抗, 2007, 23(2): 22-24.
Lan Junjie, Ren Shouting, Deng Guanghai. Application of Airship in Information Warfare［J］. Aerospace Electronic Warfare, 2007, 23(2): 22-24.
［8］梁栋, 李勇. 平流层飞艇定点保持模式的建模与稳定性分析［J］. 航天器工程, 2007, 16(4): 108-113.
Liang Dong, Li Yong. Modeling and Stability Analysis for A Stratospheric Airship in Position-attitude Keeping Mode［J］. Spacecraft Engineering, 2007, 16(4): 108-113.
［9］Torrieri D J. Statistical Theory of Passive Location Systems［J］. IEEE Trans on Aerospace and Electronic System, 1984, 20(2): 183-198.
［10］Julier S J, Uhlmann J K. A New Extension of the Kalman Filter to Nonlinear Systems: Vol 3068［C］//SPIE. Orlando: SPIE, 1997: 182-193.
［11］何友, 修建娟, 张晶炜, 等. 雷达数据处理及应用［M］. 北京: 电子工业出版社, 2006.
［12］杨万海. 多传感器数据融合及其应用［M］. 西安: 西安电子科技大学出版社, 2004.

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Near-space platform aided passive tracking algorithm for super-low-altitude targets

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