Research On Multi-interference Surpression To ADS-B Signal Based On Compressive Sensing

Recent years have witnessed a fast-booming development of civil aviation transportation industry.The requirement for transportation force is increasing,the imbalance between conventional surveillance method and the increasing demand for the air traffic service is becoming more apparent.ADS-B(automatic dependent surveillance-broadcast)has become the core techinology of China‘s future next generation air traffic control automation system.As an open star-based surveillance method,ADS-B system has been widely recognized by ICAO and developed countries for civil aviation for its active broadcast mode and low cost.As a brosdcast aircraft surveillance method,ADS-B system is susceptible to multiple types of interference.Therefore,an effective interference suppression method needs to be applied.In this work,we firstly established the special sparsed sample model for the ADS-B signal,then analyzed the signal reconstruction algorithm based on the OMP(orthogonal matching persuit)algorithm.In the face of linear stationary signal,linear non-stationary signal,nonlinear stationary signal and nonlinear non-stationary signal,the feasibility,efficiency and successful reconstruction probability of signal recovery of different algorithms are verified by simulation and laid the theoretical foundation in interference suppression method.Secondly,the resolution of the traditional DOA estimation algorithm is analyzed.Using the properties of the second derivative,a power spectral function estimation algorithm based on the second derivative of the discrete function is proposed.And it is extended to two-dimensional space,and 2D-MUSIC method and two-dimensional discrete spectral function are proposed to find the second derivative of the spectrum.With different signal-to-noise ratio,sampling rate and number of array elements,simulations verify that the proposed second derivative based MUSIC method has better performance than traditional MUSIC algorithm under low SNR and low sampling rate conditions.The success rate is resolved,and the ADS-B arrival direction is estimated.Thirdly,when combining the optimized semi-definite regular array and compressed sensing beamforming technology,an array element optimization model was established to solve the convex optimization problem,and the peak sidelobe minimization pattern was obtained.The proposed SDP optimization method was applied to beamforming,and the feasibility of reducing the peak sidelobe reduces the total output power of the array while achieving suppression of ADS-B interference is verified.The research results in this paper can provide a safe and reliable ADS-B signal source for China's new generation of ATC automation systems,improve the safety level of China's airspace surveillance operation,prompte the civil aviation flight efficiency,and the application of this technology could provide theoretical support.monitoring UAVs in low altitude airspace.