Abstract
Satellite interference source location system is one of the important means of satellite communication anti-interference. High-precision satellite interference source positioning technology can accurately lock the location of the interference source and take measures to remove the interference. Time difference of arrival (TDOA) parameter estimation is a key link in the satellite interference source location system, and the accuracy of TDOA parameter estimation directly affects the location accuracy. This paper proposes a new TDOA parameter estimation algorithm that combines variational model decomposition (VMD) and wavelet threshold denoising (WTD). Firstly, the signal is adaptively decomposed into multiple components through the VMD algorithm to ensure the preservation of the original signal during the denoising process, then an improved WTD algorithm is used to remove the influence of noise in the satellite reception signal. Finally, accurate TDOA parameters are obtained. Numerical simulations show that the accuracy of the improved algorithm are better than conventional methods, thereby indirectly improving the accuracy of satellite interference source location.
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