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Study on Mechanism of Dynamic Programming Algorithm for Dim Target Detection

机译:动态规划算法的弱小目标检测机理研究

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摘要

An important problem in the field of radar signal processing, sequence of infrared images detection which arouses people's attention widely is the detection and tracking dim moving targets in very low signal-to-noise ratio (SNR) or signal-to-clutter ratio environment. Track-before-detect (TBD) is especially useful for detecting and tracking moving targets in the condition of low SNR. In fact, dynamic programming is a problem of multi-stages decision, and dynamic programming algorithm (DPA) is an effective approach, which was adopted during the process of TBD. Current work the mechanism of dynamic programming algorithm is analyzed, and a number of technical innovations that improve the performance of DPA is presented. Simulation results show this approach has high ability of detection for dim moving targets, and achieve 3~5dB SNR gains comparable to those from other detection algorithms.
机译:雷达信号处理领域中的一个重要问题是,红外图像检测的顺序引起了人们的广泛关注,这是在非常低的信噪比(SNR)或信噪比环境下检测和跟踪暗淡的运动目标的过程。检测前跟踪(TBD)对于在低SNR的情况下检测和跟踪运动目标特别有用。实际上,动态规划是一个多阶段决策问题,动态规划算法(DPA)是一种有效的方法,它在TBD过程中被采用。分析了当前动态规划算法的机理,并提出了许多改善DPA性能的技术创新。仿真结果表明,该方法具有较弱的运动目标检测能力,信噪比可达3〜5dB,与其他检测算法相当。

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