Weak signal detection based on the information fusion and chaotic oscillator.
Based on the chaotic oscillator, a method for weak signal detection using information fusion technology is proposed in this paper. On the one hand, various methods are employed to the amplitude detection of the same weak periodic signal, then the detection outcomes are fused by the adaptive weighted fusion method. On the other hand, during the detection course, information entropy, statistic distance, and Walsh transform are, respectively, used in the state recognition of chaotic oscillator from the viewpoint of time domain or frequency domain, then the recognition results are fused by the k/l fusion method. Numerical results show that the proposed approach detects signal more precisely, identifies state more accurately, and represents information more completely compared with traditional methods.
Xiang
Xiuqiao
X
School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China. xiangxq0005@163.com
Shi
Baochang
B
D000465:Algorithms; D015233:Models, Statistical; D008962:Models, Theoretical; D017711:Nonlinear Dynamics; D009991:Oscillometry / Q000379:methods*; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted