Robust Adaptive Null Broadening Method Based on FDA-MIMO Radar

Robust Adaptive Null Broadening Method Based on FDA-MIMO Radar

Blog Article

Beamforming plays an important role in the array radar anti-interference.However, the interference targets with fast speed may move out of the Mushroom Vapes narrow null area of the beampattern.A null broadening method with robust adaptive beamforming for frequency diverse array (FDA)-multiple-input and multiple-output (MIMO) systems is proposed in this paper.The projection preprocessing and windowing functions are applied to obtain stable Grinders beampatterns.

Then, a novel null broadening method based on the covariance matrix reconstruction is realized by setting artificial fluctuations around each actual jammer.Finally, a new convex optimization model is established and solved to estimate the desired steering vector.Numerical simulations results verify the effectiveness of the proposed method.