Research On Spectrum Detection And Utilization Of Shipborne Aerial Vehicles For Onshore Task Formation

When carrier-based aircraft formations perform collaborative tasks,due to the large operational spans,unstable operational areas,and frequent encounters with electronic countermeasures,the aircraft must ensure that the channel to be accessed is available and the channel quality can meet the communication requirements before communicating with each other.In order to ensure the communication quality of the aircraft network,this thesis focuses on the spectrum sensing algorithm,and taking into account the characteristics of the aircraft’s high-speed flight,the electromagnetic spectrum of the location is constantly changing,how to quickly and accurately detect spectrum information under complex conditions has very high requirements for algorithm performance.For sub-channels with different perceived spectrum conditions,how to efficiently use the detected available spectrum and ensure the high-quality communication of carrier-based aircraft networking requires research on spectrum utilization methods under different channel quality conditions.In order to solve the above-mentioned problems,this research mainly starts from the following aspects.The primary work of this thesis is to implement a fast and accurate spectrum sensing algorithm for the shipboard aircraft network.Taking into account the characteristics of the aircraft’s high-speed flight,a combination of two detection algorithms is used to perform spectrum sensing.Frequency domain sensing algorithm and sensing algorithm based on power spectrum segmentation cancellation,and the background noise power estimation algorithm is added to the energy detection method for noise estimation,which is used for the detection threshold calculation in the energy detection algorithm in the sensing system.In order to observe the spectrum information more intuitively,the broadband spectrum estimation algorithm is deeply studied,and the principle and s teps of the classic power spectrum estimation algorithm and the parameter model spectrum estimation algorithm are introduced.Secondly,in order to apply the introduced algorithm to aircraft nodes,the Universal Software Radio Platform(USRP)is used to test the algorithm.First,this thesis introduces the hardware facilities and software platform,and then details the programming method of GNU Radio.The purpose is to design all algorithms in the GNU Radio software platform to implement signal processing modules,and build a system platform for spectrum sensing and spectrum estimation with the help of other modules integrated by the software to perform multiple sets of experimental tests.Finally,in the study of spectrum utilization method,simulation analysis of the influence of transmission distance on electromagnetic attenuation,18 kinds of adaptive modulation and coding schemes are used for simulation analysis.The corresponding relationship between signal-to-noise ratio,bandwidth and modulation and coding scheme is obtained.Designed an interactive interface using Python and its rich third-party libraries,integrated USRP parameter settings and other system display functions,which can analyze the spectrum results of spe ctrum sensing and output spectrum utilization methods and other information.