Efficient focused energy delivery with grating lobe mitigation for precision electronic warfare

Abstract Focused energy delivery, which can precisely transmit energy to the target area, is the key technology in precision electronic warfare (PREW). In practical applications, focused energy delivery technology is generally designed for ultra-sparse arrays. However, high computational complexity and severe grating lobe effect are still two main challenges in this field, especially when focused energy delivery is applied for complicated environments and multiple moving platforms. In this paper, we aim at designing highly efficient focused energy delivery technique with low grating lobe levels for ultra-sparse sensor arrays. Unlike existing methods that build models via estimating the covariance matrix of the transmitted signal, we directly establish array signal estimation models and consider the grating lobe effect in the objective function by proposing two metrics. To solve proposed models, we develop three efficient algorithms under the framework of majorization-minimization (MM) and alternating direction method of multiplier (ADMM). These algorithms all have low computational complexity and can achieve tighter upperbounds. Numerical simulations show that, the proposed algorithms are computationally more efficient and can alleviate the grating lobe effect compared to state-of-art algorithms.