利用复单脉冲比的群目标存在性检测算法

详细推导单目标和群目标条件下单脉冲比的统计特性,根据其本质差异提出基于单脉冲比的群目标检测算法,在双目标条件下通过仿真分析了群目标检测性能与信噪比、目标角度间隔以及复幅度比之间的关系,得出了有益的结论。当小目标伴随大目标时不容易被检测出来;两个幅度相当的目标,相位差别越大越有利于群目标检测。群目标检测可以有效剔除"野值",为分辨与测量奠定基础。

Multiplicity Detection of Multiple Unresolved Targets Using Complex Monopulse Ratio

The statistical property of monopulse ratio has been derived under the condition of single target and multiple unresolved targets. According to there inherent difference, the multiplicity detection algorithm has been proposed using complex monopulse ratio. Taking two targets as an example, the detection performance has been presented by Mont Carlo simulations, with respect to the signal to noise ratio (SNR), the angle interval and the complex amplitude ratio. Some meaningful conclusions are inferred qualitatively. When one target predominates, the detection performance is low. As for two comparative targets, the the detection performance is better with the relative phase increasing. This algorithm can eliminate the outliers of estimated angle effectively and start the resolution and measurement process for multiple targets.