Fuzzy identification of NEMP signal based on wavelet and box-counting dimension eigenvalue

The paper investigates an NEMP(nuclear electromagnetic pulse) detection technique in the absence of nuclear testing. After threshold demodulation, DC elimination, filtering, interpolation and normalization, the method uses wavelet analysis to extract the forth segment of wavelet pack energy spectrum, the first and forth segments of wavelet coefficient box-counting dimension as eigenvalues, establishes their respective membership functions according to statistical analysis, and then uses the fuzzy identification theory to identify NEMP signals. The method has been used to process measured NEMP signals and LEMP(lightning electromagnetic pulse) signals, which are the main source of interference. The identification rate is 99.41%.