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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Kalman filtering for enhanced landmine detection using quadrupole resonance
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Kalman filtering for enhanced landmine detection using quadrupole resonance

机译：卡尔曼滤波用于利用四极共振增强地雷探测

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摘要

Quadrupole resonance (QR) is a novel technology recently applied to landmine detection. The detection process is specific to the chemistry of the explosive, and therefore is less susceptible to the types of false alarms experienced by metal detectors and ground-penetrating radars. Although QR is vulnerable to radio-frequency interference (RFI) when the sensor is deployed in the field, adaptive RFI mitigation can remove most of the RFI. In this paper, advanced signal processing algorithms applied to the postmitigation signal are studied to enhance explosive detection. A new Kalman filtering strategy is proposed to estimate and detect the QR signal in the postmitigation signal. The results using both simulated data and experimental data show that the proposed algorithm can provide robust landmine detection performance.
机译：四极共振（QR）是最近应用于地雷探测的一项新颖技术。检测过程特定于炸药的化学性质，因此不易受到金属探测器和探地雷达所经历的虚假警报类型的影响。尽管当传感器在现场部署时QR容易受到射频干扰（RFI）的影响，但自适应RFI缓解可以消除大部分RFI。本文研究了应用于后缓释信号的先进信号处理算法，以增强爆炸物的探测能力。提出了一种新的卡尔曼滤波策略来估计和检测后缓解信号中的QR信号。使用仿真数据和实验数据的结果表明，该算法可以提供鲁棒的地雷探测性能。

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