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Study on Weak Signal Detection Based on Variable Scale Multi-stable Stochastic Resonance |
SHI Pei-ming1,LI Pei1,HAN Dong-ying2,LIU Bin1 |
1. Institute of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China
2. Institute of Vehicles and Energy, Yanshan University, Qinhuangdao, Hebei 066004, China |
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Abstract Aiming at the problem of weak signal detection under strong noise background, a novel method of weak signal detection based on variable scale multi-stable stochastic resonance is proposed. The weak signal detection ability of multi-stable stochastic resonance system is better than the bistable stochastic resonance system, which provided a new method for the detection of weak signal under strong noise background. First, the signal which is under large-scale frequency conditions while cannot occur stochastic resonance is processed by variable scale sub-sampling compression to make it to meet the conditions of stochastic resonance, then making the signal through a multi-stable system and adjusting the parameters to get the spectral characteristics of the signal, finally, comparing it with the characteristic frequency gained from the bistable stochastic resonance method.The simulation and experiment results show that under the same conditions, it is more accurate using the multi-stable stochastic resonance method to obtain frequency than the bistable stochastic resonance method, the proposed method also can enhance the signal amplitude, effectively detect weak signal submerged by strong noise.
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