Waveform and Weight Vector Design for Anti-Reconnaissance Based on FDA

This paper proposes an anti-reconnaissance waveform and weight vector design method for frequency diverse array (FDA). According to the spatial spectrum estimation, the direction of arrival (DOA) mean square error (MSE) model is built based on the waveform and weight vector. The authors analyse the anti-reconnaissance capability of phased array (PA), Multiple-input Multiple-output (MIMO), and FDA. Moreover, the waveform and weight vector of the FDA can be designed to affect the estimation of the reconnaissance aircraft DOA. Then, reconnaissance aircraft DOA estimation MSE and radar DOA estimation MSE are combined to form an optimisation problem. The waveform and weight vector joint design method is proposed. The authors decompose the multivariate non-convex optimisation problem into waveform and weight vector optimisation subproblems. The theoretical analysis and simulation results show that the proposed method can affect reconnaissance aircraft estimation compared to other radars and methods. The radar DOA estimation performance can also be maintained well.