基于概率直方图的被动雷达弱目标检测方法

复杂电磁环境和武器系统隐蔽攻防的趋势下,目标回波常淹没在噪声干扰之中而难以被准确检测。被动雷达因能有效应对电子对抗、隐身技术以及反辐射导弹等威胁而引起广泛关注,但被动探测方式制约于辐射源的特性,采用传统长时间积累方法有时难以有效提高目标检测性能。针对上述问题,本文提出一种被动雷达的弱目标探测方法,该方法以单脉冲为处理对象,利用概率统计方法,对观测时间内的每一条脉冲检测结果进行统计,并通过概率直方图中的目标检测频度分布来检测目标。实验结果表明该方法能有效检测弱目标,非常适合在工程实践性中应用。

Detection method of passive radar weak targets based on probability histogram

Under the trend of complex electromagnetic environment and weapon system concealment, the target echo is often submerged in noise interference and cannot be detected accurately. The passive radar has attracted wide attention because it can cope with the threat of electronic warfare, stealth technology and anti-radiation missile. However, the passive detection methods are limited by the characteristics of the exploited illuminator, and sometimes long term integration methods are difficult to improve the detection performance effectively. According to the above problems, we propose a detection method of weak targets of passive radar. This method uses single pulse as the processing object, and adopts the probability statistics knowledge to record every detection result after the threshold detection during the observation time, and performs the target detection by the distribution of detection results in the probability histogram. Numerical experimental results show the proposed method can effectively detect the weak target for passive radar, and can be a feasible solution for practical implementation.