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首页> 外文会议>European Microwave Conference >Target detection using space-time adaptive processing (STAP) and a multi-band, multi-channel software defined passive radar
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Target detection using space-time adaptive processing (STAP) and a multi-band, multi-channel software defined passive radar

机译：使用空时自适应处理（STAP）和多频带，多通道软件定义的无源雷达进行目标检测

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摘要

The use of passive radar for detection of targets of different type has gained considerable popularity in recent times. This radar uses the so-called the ???signals of the opportunities??? which are already in the environment. These opportunistic signals can be of different types, both in terms of frequency and modulation type. Therefore, instead of designing a separate hardware receiving system, a better approach will be design a single software defined receiver having capability to capture any signal of interest by just changing antenna system. This paper presents the development of a state of the art multichannel, multi-band software defined passive radar. The complete hardware system with multi-channel receiver, and different antenna system has been designed, to give the system software-defined radio capability. The full chain of the signal processing algorithms for target detection will be presented. The algorithms include beamforming, space-time adaptive processing (STAP), and constant false-alarm rate (CFAR) detector framework. More emphasizes will be on the STAP algorithm and CFAR detector. Actual experimental data captured with a circular array is used to validate the system design and signal processing algorithms.
机译：近来，使用无源雷达来检测不同类型的目标已获得相当大的普及。该雷达使用所谓的“机会信号”。已经在环境中了。这些机会信号在频率和调制类型方面可以是不同的类型。因此，代替设计单独的硬件接收系统，更好的方法将是设计单个软件定义的接收器，该接收器具有仅通过改变天线系统即可捕获任何感兴趣信号的能力。本文介绍了先进的多通道，多频段软件定义的无源雷达的发展。设计了具有多通道接收器和不同天线系统的完整硬件系统，以赋予系统软件定义的无线电功能。将介绍用于目标检测的信号处理算法的完整链。该算法包括波束成形，时空自适应处理（STAP）和恒定误报率（CFAR）检测器框架。更多的重点将放在STAP算法和CFAR检测器上。用圆形阵列捕获的实际实验数据用于验证系统设计和信号处理算法。

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