The paper describes the design of an Autonomous Signal Deception and Offensive System to be used at the Battlefield - a Simulink-based RF electronic warfare (EW) simulation system based on an earlier created hardware prototype, the Ultrasonic Deception System. In the previous system, four deception methods, including range deception, angle deception, stealth, and noise injection are shown with Arduino Mega and ultrasonic sensors, and the choice of the technique is done manually by an operator. The proposed system completely removes any manual involvement and adds five important extensions: autonomous selection of deception techniques with a randomized decision engine, an offensive electromagnetic pulse (EMP) generation subsystem, a cryptographic Identification Friend or Foe (IFF) protocol based on challenge-response authentication via XOR operations and pre-shared secret keys, an accurate RF channel model including path loss, propagation delay, and additive white Gaussian noise (AWGN). This system is implemerandi-based technique selection, and a Countermeasure Generation block that generates high-amplitude EMP pulses. The results of simulations show that autonomous threat classification is successful, the deployment of unpredictable deception techniques, and the possibility to quantify the degradation of the enemy system. Performance is analyzed based on six metrics such as IFF classification accuracy, deception effectiveness, SNR degradation, Shannon channel capacity, deception unpredictability entropy and system health degradation rate.
Reddy et al. (Thu,) studied this question.