Improved Generalized Cross Correlation Communication Radiation Source Time Difference Estimation Method

The aim is to address the issue of low accuracy in traditional cross correlation estimation methods of time difference of arrival (TDOA) under low signal-to-noise ratio (SNR) conditions, this paper proposes a generalized cross correlation (GCC) method for estimating arrival time difference estimation method based on variational modal decomposition (VMD) and wavelet denoising. Firstly, VMD is used to decompose the communication signal in each symbol period, and several intrinsic mode functions ( IMFs ) are obtained. Secondly, using the sample entropy and correlation coefficient of these IMF components as a basis, distinguishing the signal components and the main noise components. Then, the noise components are denoised by the wavelet threshold method, moreover, the processed noise components and the signal components are reconstructed to get the noise-canceled signal. Finally, the GCC is used to get the time delay estimate of the two reconstructed signals. It can be concluded from the simulation that when the SNR of this method is −10dB, the root mean square error (RMSE) of the proposed method is reduced by about 37% in comparison with the traditional algorithms.