动态规划算法进行弱目标检测的机理研究
Study on mechanism of dynamic programming algorithm for dim target detection
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摘要: 低信杂噪比环境中对弱小目标的检测,已经在信号处理、红外图像序列检测等领域中引起人们的广泛关注。动态规划实际上是一个多阶段决策的优化问题,它是检测前跟踪(TBD)处理过程中提出的一种有效检测弱小运动目标的方法。该文分析了动态规划算法进行弱小目标检测的机理,在此基础上对两类动态规划算法进行了革新,并给出了一个统一的递推关系式。仿真结果表明此算法对弱小目标具有较强的检测能力,比一般的弱目标的检测方法SNR性能上约提高3~5dB。Abstract: An important, problem in the field of signal processing, sequence of infrared image detection which arouses peoples attention widely is the detection and tracking of dim moving targets in very low Signal-to-Noise Ratio (SNR) or signal-to-clutter ratio environment. In fact, dynamic programming is a problem of multi-stage decision, and Dynamic Programming Algorithm (DPA) is an effective approach which was adopted during the process of Track-Before-Detect(TBD). In current work, the mechanism of dynamic programming algorithm is analyzed, and a number of technical innovations that improve the performance of DPA are presented. Simulation results show this approach has high ability of detection for dim moving targets, and achieves 3~5dB SNR. gains comparable to those of other detection algorithms.
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S.M. Tonissen, Performance of dynamic programming techniques for track-before-detect[J], IEEE Trans. on AES, 1996, AES-32(4), 1441-1450.[2]L. Harmon, Track-before-detect performance for a high PRF search mode[C], IEEE International Radar Conference, California, 1991, 11-15.[3]J. David, Track-before-detect processing for an airborne type radar, IEEE International Radar Conference, Virginia, 1990, 422-427.[4]Y. Barniv, Dynamic programming solution for detecting dim moving target[J], IEEE Trans. on AES, 1985, AES-21(1), 144-155.[5]J. Arnold, Efficient target tracking using dynamic programming[J], IEEE Trans. on AES, 1993,AES-29(1), 44-56.[6]张润琦,动态规划[M],北京,北京理工大学出版社,1989,10-15.
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