By adopting the transmit minimum redundancy array in frequency diverse array multiple-input–multiple-output (FDA-MIMO), extra degrees-of-freedom in the transmit spatial domain can be obtained, owing to enlarged virtual elements. In this article, an interference suppression method is developed with the MR-FDA-MIMO radar using data-dependent beamforming based on virtual samples. In our designed method, both the transmit and receive beamforming are explored via a two-stage approach, including, at the receive beamforming stage, sidelobe interferences are first mitigated with minimum variance distortionless response-based beamforming after blocking the true target and mainlobe interferences. At the transmit beamforming stage, the samples from the physical array are divided into multiple subsets, while a difference coarray procedure is applied to each subset and multiple virtual samples are obtained to construct the interference-plus-noise covariance matrix. Furthermore, such a matrix is reconstructed based on the Capon spectrum. In addition, the errors for both the virtual samples and the virtual covariance matrix are analyzed. The proposed approach outperforms the traditional sparse smooth strategies in terms of suppressible interference number regardless of the number of physical array elements. The effectiveness of the proposed method for interference suppression is verified through numerical simulations.
Interference Suppression With MR-FDA-MIMO Radar Using Virtual Samples Based Beamforming
IEEE Transactions on Aerospace and Electronic Systems ; 60 , 4 ; 5211-5225
2024-08-01
3984046 byte
Article (Journal)
Electronic Resource
English
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