Nonlinear Radar-Based Classification System for Electronic Devices in Cluttered Close-Range Scenarios

초록

This article proposes a system for detecting and classifying realistic electronic devices in the presence of linear clutter objects based on a frequency-modulated continuous-wave (FMCW) nonlinear radar. For classification, the proposed system utilizes statistical features of the time-segmented baseband signal envelope of the second harmonic responses from targets, which contain nonlinear coefficients of targets, and a support vector machine (SVM) is used as the classifier. The system is validated using an experimental apparatus in an anechoic chamber, and a minimum allowable signal-to-noise ratio (SNR) is set to ensure accurate target classification in the presence of a linear clutter object. The transmit frequency band of the FMCW nonlinear radar used for the experiment is 3.0-3.2 GHz, and the receive frequency band is 6-6.4 GHz, which is the second harmonic of the transmit band. The experimental results show that the proposed system can detect and classify targets with a detection rate of 85.5% and classification accuracy of 89.2%. The proposed system has the potential to provide an effective solution for detecting and classifying unauthorized electronic devices in various scenarios.

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