强目标掩盖下雷达微弱目标检测算法
发布时间：2019-03-18 17:53
【摘要】：在雷达多目标检测时,弱目标由于其能量低,容易被临近的强目标掩盖,严重影响了弱目标的检测。针对强弱目标并存的情况,提出了一种新的雷达微弱目标检测算法。首先联合Keystone变换和最小二乘FIR滤波器原理,实现了强目标相参积累并估计了其回波幅值,从而重构出强目标回波信号,并将其从原始回波中消除。通过对余下信号做相参积累,凸显了微弱目标,提高了微弱目标的检测性能。仿真实验验证了算法的有效性和优越性。
[Abstract]:In radar multi-target detection, weak target is easy to be masked by adjacent strong target because of its low energy, which seriously affects the detection of weak target. In view of the coexistence of strong and weak targets, a new radar weak target detection algorithm is proposed. First, combining the principle of Keystone transform and least squares FIR filter, the coherent accumulation of strong targets and the estimation of echo amplitude are realized, and the echo signals of strong targets are reconstructed and eliminated from the original echoes. Through the coherent accumulation of the remaining signals, the weak target is highlighted and the detection performance of the weak target is improved. Simulation results show the effectiveness and superiority of the algorithm.
【作者单位】： 国防科学技术大学自动目标识别重点实验室;
【基金】：国家自然科学基金(61401489)资助课题
【分类号】：TN957.51
[Abstract]:In radar multi-target detection, weak target is easy to be masked by adjacent strong target because of its low energy, which seriously affects the detection of weak target. In view of the coexistence of strong and weak targets, a new radar weak target detection algorithm is proposed. First, combining the principle of Keystone transform and least squares FIR filter, the coherent accumulation of strong targets and the estimation of echo amplitude are realized, and the echo signals of strong targets are reconstructed and eliminated from the original echoes. Through the coherent accumulation of the remaining signals, the weak target is highlighted and the detection performance of the weak target is improved. Simulation results show the effectiveness and superiority of the algorithm.
【作者单位】： 国防科学技术大学自动目标识别重点实验室;
【基金】：国家自然科学基金(61401489)资助课题
【分类号】：TN957.51
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