Based On The Semi-parametric Model Of Airborne Conformal Array Of Broadband Signal Processing

Conformal antenna array is a hot in antenna research area, which signal processing research related to is mainly centered on the areas of spatial resolution. The importance of signal processing model is neglect.The research on the processing of signal received from airborne conformal array is mainly analyzed in this dissertation, which includes the estimations of signal numbers, signal directions and signal parameters.At first, cylindrical and conical conformal array are introduced here. And we propose building the signal model of conformal airborne array system by the semi-parametric mathematical model after the analysis of conformal airborne array system so that we can control the clutter better.Then, signal numbers are estimated through improved Gerschgorin radii. And the method is proved successfully at different SNR and samples in the signal processing of the models introduced last. And the DOA of wideband signals is estimated based on Krylov subspace. This method needs no focusing transformation or eigendecomposing the covariance matrix of the array output. It is suitable for coherent source and non-coherent source.At last, some simple parallel iteration algorithms which provide the basic for large linear system research are proposed here. Jacobi and Gauss-Seidel iteration are introduced here, which assemble the better algorithm. Besides these, the two-step semi-parametric estimator and semi-parametric least-squares kernel estimator are described. And some normal choice of the regular matrix and smoothing parameter are discussed. We discuss the estimation of signal parameters. The semi-parametric estimator is better through comparing least-squares parameter estimator with the two-step semi-parametric estimator and semi-parametric least-squares kernel estimator apart.Finally we formed a complete set of signal processing program which provides the basic for further study of signal processing for conformal arrays.