Citation: | Yunhe CAO, Yongqiang GUO, Shuai LIU, Yutao LIU. Adaptive Null Broadening Algorithm Based on Sidelobes Cancellation[J]. Journal of Electronics & Information Technology, 2020, 42(3): 597-602. doi: 10.11999/JEIT190296 |
In existing null broadening algorithm, the taper matrix does not contain phase information, and when it is used to against strong directional and large deviation angle interference, the null depth becomes shallow and the interference suppression performance drops seriously. An adaptive null broadening algorithm for sidelobe canceller is proposed based on dense disturbance in virtual airspace. The algorithm reconstructs the self-covariance matrix of the auxiliary array data and the co-covariance matrix of the main and auxiliary array data at the same time to realize the adaptive control of the null region. The taper matrix is only related to the position and width of the array elements, and it can be generated offline without disturbing information and occupying no computing resources of the system. The simulation results show that this method can achieve adaptive broadening of the null region and improve the robustness of non-stationary interference suppression.
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