Range–Angle-Dependent Beamforming for Cognitive Antenna Array Radar with Frequency Diversity

The inspiration behind a basic cognitive radar is the analogy between human brain and radar signal processing techniques. In this paper, we propose a hybrid model of cognitive frequency diverse array radar with adaptive range–angle-dependent beamforming. Cognitive radar properties have been incorporated to enhance the signal to interference plus noise ratio and detection capability. The proposed receiver estimates the current and future target position and tunnels this information to the transmitter as feedback. Since frequency diverse array uses a small frequency increment across the antenna elements to generate a range–angle-dependent beam pattern, the proposed scheme provides an analytical formula to compute this frequency increment based on the feedback. This saves a lot of power and reduces computational complexity. In addition, the electromagnetic pollution of environment is decreased. Monte Carlo-based simulation results have been provided to validate the performance.