空基外辐射源定位系统的观测站航迹优化

doi:10.3969/j.issn.1001-506X.2020.12.06

Abstract

Abstract:

Aiming at the problems of poor observability and unstable positioning performance of airborne passive coherent location (APCL) system, a track optimization algorithm of observation station is proposed to improve the positioning and tracking performance of the system. Firstly, the two-dimensional kinematic model and measurement equation of APCL system are established, then the observability measure and geometrical dilution of precision (GDOP) of the system are selected as the optimization indexes, and the track optimization function is derived. Secondly, the weighted discrete search optimization algorithm is used to control the observation station to the optimal observation position. The cubature Kalman filter (CKF) is used as a tool to locate and track the target and the external transmitter. The simulation results show that the tracking optimization algorithm can greatly improve the stability of the system positioning, and decrease the tracking estimation error significantly.

Key words: passive coherent location, track optimization, observability measure, geometrical dilution of precision (GDOP), cubature Kalman filter (CKF)

CLC Number:

TN95

Yu LU, Zheng ZHOU. Observation station track optimization of airborne external transmitter location system[J]. Systems Engineering and Electronics, 2020, 42(12): 2708-2715.

Figures/Tables 9

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运动平台	x/km	y/km	v_x/(m/s)	v_y/(m/s)
目标	20	15	200	250
外辐射源	25	15	200	250
观测站	15	10	250	0

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Observation station track optimization of airborne external transmitter location system

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