强杂波下微弱目标检测方法研究

A Study on Weak Target Detection Method Under Strong Clutter

微弱目标检测是现代应用雷达技术领域重要的研究方向之一。但面对现代的低空防御武器以及在超强杂波下的微弱目标,应用雷达的检测以及各类研究技术必须有进一步的提升。针对各种杂波、强波条件下目标检测的难题,文中提出了一种基于MHT&VA的检测前跟踪(TBD)算法的微弱目标检测方法。首先,对雷达测量目标及模型进行了归纳总结;其次,提出了基于分析标准的Hough变换的TBD算法并对其步骤进行优化,得出最优解的目标特征检测;最后,通过分析文中算法的仿真实验结果,验证了文中算法具备微弱目标特征点的检测能力。通过对比算法可知,文中所提出的基于MHT&VA的TBD算法能够解决强杂波下微弱目标检测困难的问题,同时也具备较好的稳定性。

Weak target detection is one of the important research directions in the field of modern applied radar technology.However,in the face of modern low-altitude defense weapons and weak targets under strong clutter,the application of radar detection and various research techniques must be further improved.In order to solve the problem of detection under various clutter and strong wave conditions,a weak target detection method based on the track before detect(TBD)algorithm of MHT&VA is proposed.Firstly,the radar measurement target and model are summarized;secondly,the TBD algorithm based on the Hough transform of analysis standard is proposed and the steps are optimized to obtain the target feature detection of the optimal solution.Finally,by analyzing the simulation results of the algorithm,it is verified that the algorithm in this paper has the ability to detect weak target feature points.By comparing the algorithms,it can be known that the TBD algorithm based on MHT&VA proposed in this paper can solve the problem of weak target detection under strong clutter,and also has good stability.