Research On Application Of Array Signal Direction Finding Technology In Satellite Navigation And Control Station

Satellite navigation and direction finding technology is the key technology in navigation measurement and control,which has important research significance and application prospect.Firstly,This paper introduces the basic principle of control station in satellite navigation and the commonly method about angle estimation.Before introducing the common methods,the basic principle of the direction finding is introduced,and then the two methods of traditional lateral direction and spatial spectrum direction are introduced respectively.In addition,the environment of array direction of control station in satellite navigation is analyzed.The influence of low SNR environment on the estimation of spatial spectrum is discussed,and the high signal-to-noise ratio is improved by the pre-solution.Then,the accuracy of the satellite navigation azimuth is improved effectively from one-dimensional array direction finding and two-dimensional array.Finally,the above work provides a reference value for the array direction finding method in the interference environment of the following chapters.Then,the array direction finding algorithm is used to analyze and simulate in the GPS interference environment.In the suppression interference environment,the suppression of the interference is pressing by the orthogonal projection matrix,the spatial spectrum estimation method can accurately obtain the navigation satellite signal to the wave direction estimation in the application.However,in the deceptive interference environment,the interference power is close to the power of the navigation signal,and the INR is low.By reducing or filtering the noise components,the size of the eigenvalues can be distinguished,and the subspaces can be accurately divided,and thenthe interference blocking matrix is constructed to suppress the interference,And finally obtain the direction of the wave to estimate.The application of array direction finding method in two kinds of interference environment is discussed.At last,taking into account the above-mentioned array direction finding method is based on the eigenvalue decomposition of the subspace decomposition class algorithm,the computational complexity is high,in order to reduce its computational complexity,through the use of multi-level Wiener filter(MSWF)recursive algorithm,find a noise subspace or projection space to replace the covariance matrix eigenvalue decomposition of the division of the noise subspace,and ultimately achieve the purpose of low complexity direction.