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一种基于相参积累的检测前跟踪算法 被引量:5

A Track-before-detection Algorithm Based on Coherent Integration
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摘要 现有的TBD方法基本思想通过对多帧数据作非相参积累改善检测性能来检测弱小目标,但是非相参积累存在固有的积累损失。文中提出了基于相参积累的TBD方法,将若干帧数据中可能航迹上的点作相参积累,有效利用了回波信号的相位信息,克服了非相参积累的固有积累损失。仿真结果表明该方法与非相参积累的TBD方法相比,在检测概率为0.9条件下信噪比有1.5dB以上的改善。 The previous TBD algorithm is based on non-coherent integration to improve detection performance of weak target. Intrinsic loss occurs in non-coherent integration compared with coherent integration. A new TBD algorithm through coherent integration is proposed in this paper. The algorithm integrates the measurement along possible target trajectories in a number of frames. It uses the phase information of echo signal effectively, avoiding integration loss. The simulation result indicates that this method improves SNR more than 1.5 dB when probability of detection is 0.9.
作者 陈翼 王盛利
出处 《现代雷达》 CSCD 北大核心 2010年第5期26-30,共5页 Modern Radar
关键词 检测前跟踪 相参积累 动态规划 track-before-detection coherent integration dynamic programming
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参考文献5

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二级参考文献10

共引文献43

同被引文献37

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