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Passive Coherent Location as Cognitive Radar

机译:被动相干位置作为认知雷达

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摘要

Cognitive Radar describes a generic radar system that is capable of adapting its transmission waveforms and cooperation with other sensors [1] in order to achieve superior detection, recognition, and tracking of targets. For example, the sensors of a cognitive radar system might use the illumination signals to carry broadcast data, allowing the sharing of target information. Herein, we postulate that it would be possible to implement a cognitive version of Passive Coherent Location (PCL) which has much in common with the broad cognitive radar concept, but adapts only to the waveforms it senses in the environment, and exploits those that are most useful to it for target detection. In addition, it would model the terrain to improve coverage and provide countermeasures against direct signal saturation. By its name, PCL does not transmit, but relies on emissions from other radiating systems, such as broadcast services, other radars, cellular radio, WiFi, and so on. It is clear that such a system, consisting of multiple, cooperating receivers, can achieve excellent performance in the presence of deliberate jamming, difficult terrain, and attempts at target stealth. In the civilian radar domain, the technology offers opportunities for bandwidth conservation [2].
机译:认知雷达描述了一种通用雷达系统,该系统能够适应其传输波形并与其他传感器[1]配合使用,以实现对目标的出色检测,识别和跟踪。例如,认知雷达系统的传感器可能使用照明信号来携带广播数据,从而允许目标信息的共享。在此,我们假设有可能实现一种认知版本的被动相干位置(PCL),该版本与广泛的认知雷达概念有很多共同点,但仅适应于其在环境中感测到的波形,并利用对目标检测最有用。此外,它将对地形建模以改善覆盖范围并提供针对直接信号饱和的对策。顾名思义,PCL不进行传输,而是依赖于其他辐射系统的发射,例如广播服务,其他雷达,蜂窝无线电,WiFi等。显然,这种由多个相互配合的接收器组成的系统在故意干扰,困难地形和试图进行目标隐身的情况下可以实现出色的性能。在民用雷达领域,该技术为带宽节省提供了机会[2]。

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