A Novel Complex Valued Blind Signal Extraction Method for Adaptive Interference Suppression in Civil Aviation Air-to-Ground Communication

Complex valued blind signal processing is a frequently arising problem in signal processing, and it is an effective method to the resolve linear convolutional mixing problem. In this paper, based on the circularity of the signal, we proposed a new complex valued blind signal extraction method to realize the interference suppression in civil aviation air-to-ground communication. The new method can reduce the computational burden effectively and has good processing effect. Simulation results are presented to demonstrate the performance of the proposed method.