Systems Engineering and Electronics ›› 2022, Vol. 44 ›› Issue (9): 2809-2816.doi: 10.12305/j.issn.1001-506X.2022.09.14

• Sensors and Signal Processing • Previous Articles     Next Articles

Robust anti-main lobe range deceptive jamming technology with FDA-MIMO radar

Fuhai WAN1,2,*, Jingwei XU2, Zhenrong ZHANG1   

  1. 1. School of Computer and Electronic Information, Guangxi University, Nanning 530004, China
    2. National Key Lab of Radar Signal Processing, Xidian University, Xi'an 710071, China
  • Received:2020-11-06 Online:2022-09-01 Published:2022-09-09
  • Contact: Fuhai WAN

Abstract:

Frequency diverse array (FDA) based multiple-input and multiple-output (MIMO) radar can utilize extra controllable range-dependent degrees-of-freedom to effectively suppress the deceptive jamming in joint transmit-receive spatial frequency domain. However, the anti-jamming performance might degrade evidently in the presence of target steering vector mismatch and covariance matrix estimation error. In this paper, a jamming suppression approach with robust beamforming is proposed in FDA-MIMO radar. Firstly, the desired signal (or jamming) steering vector is estimated by integrating the Capon spectrum estimator which eliminates the residual noise over the desired signal (or jamming) region. Subsequently, the jamming power is established based on the orthogonality between different signal steering vectors, and jamming plus noise covariance matrix is reconstructed. Finally, combine the more accurate steering vector with the reconstruction matrix to calculate the optimal weight vector of the adaptive beamformer, which improves the performance of jamming suppression. Simulation experiments demonstrate the effectiveness of the proposed algorithm.

Key words: frequency diverse array (FDA), deceptive jamming suppression, robust beamforming, steering vector mismatch, covariance matrix reconstruction

CLC Number: 

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