Passive Coherent Location as Cognitive Radar

M. Inggs
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引用次数: 10

Abstract

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. In this paper 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].
被动相干定位作为认知雷达
认知雷达描述了一种通用雷达系统,它能够自适应其传输波形并与其他传感器合作[1],以实现对目标的优越检测、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,从而允许共享目标信息。在本文中,我们假设有可能实现被动相干定位(PCL)的认知版本,它与广泛的认知雷达概念有很多共同之处,但只适应它在环境中感知的波形,并利用那些对目标检测最有用的波形。此外,它将模拟地形以提高覆盖范围并提供对抗直接信号饱和的对策。顾名思义,PCL并不发射,而是依赖于其他辐射系统的发射,比如广播服务、其他雷达、蜂窝无线电、WiFi等等。很明显,这样一个由多个协作接收器组成的系统,可以在故意干扰、困难地形和目标隐身的情况下取得优异的性能。在民用雷达领域,该技术为带宽节约提供了机会[2]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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