期刊文献+

基于双因素的定位跟踪轨迹优化算法研究

Optimization of Trajectories in Passive Tracking Based on Two-factors Colligation
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摘要 单机无源定位跟踪的轨迹优化可以有效提高定位跟踪精度。本文提出基于双因素的综合优化算法,即方位角变化率最大优化法和距离最小优化法的综合优化算法。该算法利用了两种综合优化准则。通过仿真验证了该算法的正确性,结果表明该算法可以明显提高定位跟踪精度。 The optimization of trajectories in passive tracking with a single observer can improve the tracking precision. This paper brings forward an colligation optimazing way based on two-factor synthetically, including the azimuth angle changing rate maximum optimization and distance minimum optimization. The validity of this method is also verified by simulating, the result shows that the tracking precision is improved obviously.
出处 《航空兵器》 2008年第6期48-51,共4页 Aero Weaponry
关键词 无源跟踪 双因素综合 轨迹优化 目标跟踪 passive tracking two-factor colligation optimization of trajectories target tracking
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