GPS L1 C/A 신호를 위한 심층신경망을 이용한 단일 연속파 재밍 검출기법 = Single Continuous-Wave Jamming Detection Scheme Using a Deep Neural Network for GPS L1 C/A Signal

다국어 초록 (Multilingual Abstract)

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다국어 초록 (Multilingual Abstract)

In this paper, a novel deep neural network-based single continuous wave jamming detection scheme is proposed for Global Positioning System (GPS) L1 Coarse/Acquisition (C/A) signals, which are used most frequently in civilian satellite-based navigation systems. The main environmental variables considered are as follows: The effective jamming power-to-noise spectral density ratio (J/N0) has a range of 34 dB-Hz to 64 dB-Hz; the center frequency and Doppler frequency of a single continuous wave jamming occur uniformly within ± 1 KHz and within ± 10 KHz, respectively, based on the center frequency of the GPS L1 C/A signal. The designed deep neural network consists of six hidden layers and one SoftMax layer. In order to assess the performance of the proposed scheme, the energy detection scheme that is frequently used for the detection of single continuous wave jamming at pre-correlation level is considered as a conventional scheme. When the false alarm probability is set to 10-5 via simulation, it was confirmed that the detection probability of the proposed scheme is approximately 98% or higher, while that of the conventional scheme is approximately 78% at an effective J/N0 of 61 dB-Hz.

참고문헌 (Reference)

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