Information theory based waveform design for RIS-aided multifunction RF systems

Abstract

This paper studies the waveform design problem for reconfigurable intelligent surface (RIS) aided multifunction radio frequency (MFRF) systems, which enables detection, communication, and electronic attack simultaneously. The design purpose is to maximize the relative entropy while ensuring effective communication and jamming functionalities. To improve the practicability of the MFRF system, a constant-modulus constraint is imposed on the transmit waveforms. A cyclic method is proposed to iteratively optimize the transmit waveforms and the RIS coefficients. Specifically, to tackle the resultant non-convex problems, we resort to the minorization-maximization based method to transform the objective function into a quadratic form, then leverage alternating direction method of multipliers to seek efficient solutions. Numerical results verify the effectiveness of the proposed algorithm and show that with the aid of RIS, the target detection performance can be effectively enhanced.