Anti-jamming performance analysis of FDA-MIMO based adaptive beamforming with linear and nonlinear frequency offsets

Ming Tan; Zheng Dai; Xinmei Wang; Xiangnan Li; Hang Zhu; Wei Song

doi:10.1117/12.2634562

4 May 2022 Anti-jamming performance analysis of FDA-MIMO based adaptive beamforming with linear and nonlinear frequency offsets

Ming Tan, Zheng Dai, Xinmei Wang, Xiangnan Li, Hang Zhu, Wei Song

Author Affiliations +

Proceedings Volume 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021); 1217220 (2022) https://doi.org/10.1117/12.2634562
Event: International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 2021, Nanchang, China

Abstract

Unlike phased array, frequency diverse array (FDA) adopts linearly increased frequency offset across the array elements, resulting in range-angle-dependent beampattern. Thus, it has application potential in the aspect of mainlobe interference suppression. In this paper, based on the multiple-input multiple-output (MIMO) scheme with multiple matched filters at receiver, a two dimensional linearly constrained minimum-variance (TD-LCMV) adaptive beamforming approach is presented for range-angle two dimensional interference suppression. Furthermore, the anti-jamming performance is analysed in two cases, i.e., linear and nonlinear frequency offsets. Simulations indicate that the FDA-MIMO with nonlinear frequency offset outperforms that with linear frequency offset in respect of effective anti-jamming performance.

Citation Download Citation

Ming Tan, Zheng Dai, Xinmei Wang, Xiangnan Li, Hang Zhu, and Wei Song "Anti-jamming performance analysis of FDA-MIMO based adaptive beamforming with linear and nonlinear frequency offsets", Proc. SPIE 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 1217220 (4 May 2022); https://doi.org/10.1117/12.2634562

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