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Orthogonal Waveform Design and Performance Analysis in Radar Sensor Networks

机译:雷达传感器网络中的正交波形设计与性能分析

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In radar sensor networks (RSN), radar members are likely to interfere with each other if their waveforms are not properly designed. In this paper, we propose an orthogonal waveform model for RSN, which eliminates interference when no doppler shift is introduced. Additionally, we design both coherent and noncoherent RSN detection systems applying equal gain combination technique performed by clusterhead to take the advantage of spatial diversity. The latter scenario is more challenging as doppler-shift uncertainty results in more complicated implementation. Also, we analyzed the performance of both systems under the environment of doppler shift and interference. Monte Carlo simulation illustrates that our technique provides much better detection performance than that of single radar for fluctuating targets, in terms of probability of false alarm and miss detection. Conclusions are drawn based on our analysis and further related research areas are discussed.
机译:在雷达传感器网络(RSN)中,如果没有正确设计它们的波形,则雷达构件可能会彼此干扰。在本文中,我们提出了一种用于RSN的正交波形模型,当介绍没有多普勒频移时消除了干扰。此外,我们设计了应用群集主体执行的相互增益组合技术的相干和非组织RSN检测系统,以实现空间分集的优势。后一种情况更具挑战性,因为多普勒 - 换档不确定性导致更复杂的实施。此外,我们分析了多普勒频移和干扰环境下的两个系统的性能。 Monte Carlo仿真说明我们的技术在虚假警报和错过检测的概率方面提供了比单次雷达的更好的检测性能。基于我们的分析,并讨论了进一步相关的研究领域的结论。

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