期刊
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
卷 71, 期 -, 页码 -出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIM.2022.3145356
关键词
Magnetic field measurement; Detectors; Magnetosphere; Signal to noise ratio; Noise measurement; Matched filters; Magnetic sensors; Binary test hypothesis; detection; magnetic anomaly; minimum entry detection; parallel stochastic resonance (PSR)
资金
- National Natural Science Funds of China [61903380, U1430105, 61671460, 51507178, 11604384, 51175507]
The PSR detector is a novel detection method based on a parallel stochastic resonance system that improves the signal-to-noise ratio and reveals anomaly signals. Experimental results show that the PSR detector has a higher detection probability even at low SNR and low false alarm probability.
Magnetic anomaly detection (MAD) is a useful method for the detection of visually obscured ferromagnetic targets. However, when the prior information of the target signal is lacking or inaccurate, the performance of the traditional method based on orthonormal basis functions may degrade rapidly. Therefore, a novel detection method based on a parallel stochastic resonance (PSR) system is proposed, which is named the PSR detector. This method uses a PSR system to improve the signal-to-noise ratio (SNR) and then reveals anomaly signals by energy detector. Experimental results show that the detection probability of PSR detector reaches 70 & x0025; even if input SNR is & x2212;3 dB and approximated to 100 & x0025; if SNR is 0 dB under the false alarm probability (FAR) of 5 & x0025;. In particular, the PSR detector provides a higher detection probability than the minimum entropy (ME) detector and a more balanced performance than the detector using a single stochastic resonance (SSR) system when the deterministic parameter of the target signal is lacking.
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