Research On Radio Interference Location Technology

In recent years,with the rapid development of radio communication technology,the electromagnetic environment is becoming more and more complicated.The problem of electromagnetic interference is drawing more and more attentions,especially in the safe production of civil aviation,where the monitoring and management of the electromagnetic environment around the airport has become extremely important.The accuracy of the radio interference positioning algorithm is a necessary guarantee for interference monitoring and subsequent management.Considering the specific situation of civil aviation airborne equipment and interference monitoring operation procedure,a high-precision radio interference source positioning algorithm is proposed in this thesis aiming to improve the radio interference positioning accuracy and reduce the processing complexity,which is suitable for the electromagnetic environment monitoring around the airport.The categories and properties of usual interfering signal in civil aviation are analyzed to summarize the source of interfering signals first.Then,contrastive analysis on the conventional direction finding and positioning algorithms are done to conclude the advantages,disadvantages and application requirements of the conventional algorithms.Finally,an improved high-precision radio positioning algorithm is proposed in this thesis.In order to improve the accuracy of the positioning algorithm,the algorithm proposed in this thesis introduces the concept of virtual antenna array and the particle filtering method into the traditional direction finding based positioning algorithm.The virtual antenna array is constructed by using a single antenna to measure at different positions and use the multiple measured samples to form a virtual antenna array.Additionally,the effects of noise and flight speed on positioning accuracy is reduced by particle filtering method.Furthermore,the sparse Fourier transform is utilized in the proposed algorithm to reduce the dimensionality of the monitored interference signal samples for complexity reduction.Simulation results show that the positioning algorithm proposed in this thesis has significant gains in positioning accuracy and stability compared with the traditional algorithms.