Research For Spectrum Analysis Of Terminal Control Area Based On WCSS

The air traffic flow of China has experienced unprecedented growth with the rapid development of Chinese civil aviation industry.The contradiction between the need to monitor and manage the limited spectrum in the terminal control airspace and the increasingly frequent signal interference has become increasingly prominent.The emergence of wideband compressive spectrum sensing(WCSS)technology provides theoretical support for solving the above contradictions.WCSS is a spectrum sensing method for wideband signals,it can directly obtain a small number of uncorrelated measurements of the signal based on the frequency domain sparsity.Then reconstruct the original signal through optimization algorithm.The existence of a large number of spectrum holes in the current wireless communication environment is the basis for the implementation of WCSS.WCSS technology can effectively reduce the burden of analog to digital converter(ADC),while providing a fast and reliable broadband spectrum sensing method.In this paper,the measurement matrix construction algorithm in WCSS is studied firstly,and the defects of the existing measurement matrix are analyzed.The shortcomings of the non-orthogonality of internal atoms cannot be fully realized due to the influence of the structure of the measurement matrix.The structure-oriented measurement matrix and perceptual dictionary collaborative construction algorithm introduces the perceptual dictionary into the existing theory of compressed perceptual theory,and defines the perceptual dictionary evaluation index,which improves the support set identification criterion.Finally,the effectiveness of the above algorithm and its superiority compared with other measurement matrices such as Gaussian random matrices and Gradient matrices are verified by simulation.Secondly,the orthogonal matching pursuit(OMP)algorithm and its various improved alg orithms are analyzed and the shortcomings of the above algorithms can not accurately and qu ickly reconstruct the signal under the condition of unknown signal sparsity.A sparsity adaptiv e reconstruction algorithm for perceptual dictionary.A new sparsity budget method based on t-correlation coefficient is used in the algorithm,which is introduced into the signal weight pr ocess.Then,based on the support dictionary identification criteria of the perceptual dictionary,the simulation is verified under different compression ratios and signal sparsity.The algorith m has better reconstruction performance under high signal compression ratio and low signal s parsity.Finally,the use of WCSS technology in the field of analog signal is further explored.Based on the characteristics of high frequency multi-band and multi-lattice terrain shielding in t he terminal control area,a multi-channel parallel analog information converter is proposed.Th e signals are compressed and measured at different locations through multiple sets of mixing and filtering devices,and then the multi-estimated signals are fused by a signal fusion metho d based on MMSE estimation to obtain a single estimated signal.The research results of this paper can provide technical support for spectrum monitoring in Chinese terminal controlled airspace,and provide a theoretical basis for future dynamic spe ctrum management in the civil aviation field.