Drone Swarm Waveform and Array Design for Integrated Sensing and Interfering

Drone swarm array configuration varies with the unmanned aerial vehicle (UAV) positions, and thus provides extra antenna position degree-of-freedom (DOF) comparing to fixed array configuration. In this paper, we utilize the DOFs in both drone swarm waveform and antenna positions to jointly design waveform and array for integrated sensing and interfering (ISI), where a generalized likelihood ratio test (GLRT) is devised to decide if there exists a target at a known location or not; while a range profile-based electromagnetic disguise is carried out for the interference purpose. Then, the matrix inversion lemma is applied to eliminate the challenging fraction term resulted from the GLRT signal-absence and signal-presence hypotheses, and derive simplified detection metric expression. Moreover, to tackle the extremely complicated inversion operator in the projection matrix of the clutter steering matrix, we derive a recursive scheme to reformulate a series of generalized Rayleigh entropy problems. While utilizing the rank-1 and orthogonal properties, the entropy problem is simplified as a constant modulus optimization problem. Numerical results demonstrate the excellent performance of the proposed solutions.