Frequency offset deception velocity-based method for discriminating between physical targets and active false targets

Deyu Li, Siyi Yao, Yi Liao, Jian Yan, Yusheng Fu

Abstract: The discrimination of false targets by multistatic radar utilizing data-level fusion is contingent upon the differences in spatial information observed by receivers of different orientations. Nevertheless, if the target is situated in the far field, the jamming discrimination performance of multistatic radar is limited by the baseline distance of the receivers. To address this challenge, this paper designs a multistatic frequency diversity radar to mislead the carrier frequency estimation of the target jammer. This scheme introduces a difference in spectral information to the spatial information of the multistatic radar, thereby enhancing the jamming discrimination performance. In light of the above, we propose a frequency offset deception velocity-based (FODVB) method to discriminate active false targets. The method effectively fuses the spatial and frequency information to discriminate the false targets accurately and applies to multi-target scenarios. Furthermore, an optimal frequency selection strategy based on target orientation information is proposed to achieve the optimal discrimination performance of the FODVB method. The effectiveness of the proposed method is validated through Monte Carlo simulations.