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Detection of Unresolved Targets for Wideband Monopulse Radar

机译：宽带单脉冲雷达未分辨目标的检测

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摘要

Detecting unresolved targets is very important for radars in their target tracking phase. For wideband radars, the unresolved target detection algorithm should be fast and adaptive to different bandwidths. To meet the requirements, a detection algorithm for wideband monopulse radars is proposed, which can detect unresolved targets for each range profile sampling points. The algorithm introduces the Gaussian mixture model and uses a priori information to achieve high performance while keeping a low computational load, adaptive to different bandwidths. A comparison between the proposed algorithm and the latest unresolved target detection algorithm Joint Multiple Bin Processing Generalized Likelihood Ratio Test (JMBP GLRT) is carried out by simulation. On Rayleigh distributed echoes, the detection probability of the proposed algorithm is at most 0.5456 higher than the JMBP GLRT for different signal-to-noise ratios (SNRs), while the computation time of the proposed algorithm is no more than two 10,000ths of the JMBP GLRT computation time. On bimodal distributed echoes, the detection probability of the proposed algorithm is at most 0.7933 higher than the JMBP GLRT for different angular separations of two unresolved targets, while the computation time of the proposed algorithm is no more than one 10,000th of the JMBP GLRT computation time. To evaluate the performance of the proposed algorithm in a real wideband radar, an experiment on field test measured data was carried out, in which the proposed algorithm was compared with Blair GLRT. The results show that the proposed algorithm produces a higher detection probability and lower false alarm rate, and completes detections on a range profile within 0.22 ms.
机译：在雷达的目标跟踪阶段，检测未解决的目标非常重要。对于宽带雷达，未解决的目标检测算法应快速且可适应不同带宽。为了满足要求，提出了一种宽带单脉冲雷达的检测算法，该算法可以针对每个距离剖面采样点检测未解决的目标。该算法引入了高斯混合模型，并使用先验信息来实现高性能，同时保持较低的计算负荷，以适应不同的带宽。通过仿真对提出的算法与最新的未解决的目标检测算法进行了比较。联合多仓处理广义似然比检验（JMBP GLRT）。在瑞利分布回波上，对于不同的信噪比（SNR），所提出的算法的检测概率比JMBP GLRT高最多0.5456，而所提出的算法的计算时间不超过JMBP GLRT的二十分之一。 JMBP GLRT计算时间。在双峰分布回波上，对于两个未分辨目标的不同角度间隔，所提算法的检测概率最多比JMBP GLRT高0.7933，而所提算法的计算时间不超过JMBP GLRT计算的十分之一。时间。为了评估该算法在真实宽带雷达中的性能，对现场测试数据进行了实验，并将该算法与Blair GLRT进行了比较。结果表明，该算法产生了较高的检测概率和较低的虚警率，并在0.22 ms内完成了对距离分布的检测。

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