Design And Processing Of Cognitive Anti-jamming Waveforms For Airborne Radar

Compared with traditional airborne radar,airborne cognitive radar forms a closed loop by using environmental information,which can adaptively and dynamically adjust the transmitting,receiving and processing terminal.Airborne cognitive radar has become the international frontier and hot spot in the field of airborne radar research because of its superior performance in target detection and parameter estimation.Cognitive anti-jamming waveform design is one of the key technologies of the cognitive airborne radar system.Under the conditions of different tasks,jamming environment and resource constraints,the modulation parameters in the in-pulse and inter-pulse domain of waveform are optimized by using the knowledge of perceived jamming and target,which can enhance the distinction between target and jamming,and improve the detection performance of airborne radar under jamming.With the development of electronic countermeasures and the increasingly complexity of detection environment,anti-jamming waveform design of airborne cognitive radars is faced with great challenges in modern warfare.In this regard,theories and methods are studied in this paper for the design of airborne radar cognitive anti-jamming waveforms,where the deception jamming and the spectrum coexistence are mainly considered.The main work of this paper is as follows:1.Aiming at anti-range deception interference of airborne cognitive radar,this paper establishes a constant modulus sequence set design model where the weighted integral sidelobe levels of auto and cross-correlation functions is minimized.A reduced-order quartic optimization algorithm is developed in this paper,which can improve the ability of airborne radar to counter the range deception jamming.2.Aiming at the anti-speed deception interference of airborne radar,this paper considers the optimization of the initial phase of the multi-pulse signal under discrete constraints.To suppress the interference energy in the stop band,a waveform design algorithm based on phase agility between pulses is presented in this paper.It effectively improves the ability of airborne radar to detect moving targets in the speed deception jamming environment.3.Aiming at the anti-range deception interference problem and the requirement of spectrum coexistence,this paper construct a novel optimization problem.Under spectrum constraints,it minimizes the weighted integral sidelobe level of auto and cross-correlation functions.A novel multi-constraints multi-waveform optimization method is proposed in this paper,and it improves the detection performance of airborne radar under spectrum coexistence and range deception interference.Theoretical analysis of the convergence and computational complexity of the above algorithms are provided,and simulations are designed to verify the effectiveness of the above anti-jamming waveform design algorithms.The results show that the waveform and processing method designed in this paper can effectively deal with the complex electromagnetic environment faced by the airborne radar and help airborne radar achieves target detection.