Method for low-altitude obstacle super-resolution one-dimensional imaging of stepping frequency radar

The invention discloses a method for low-altitude obstacle super-resolution one-dimensional imaging of a stepping frequency radar and relates to a stepping frequency radar super-resolution imaging method. The method comprises a first step of obtaining a receiving data vector of a distance scene through the stepping frequency radar; a second step of denoising the receiving data vector to obtain an observation vector; a third step of dividing a distance scene grille to obtain a grille distance; a fourth step of forming a dictionary matrix according to the observation vector and the grille distance; a fifth step of utilizing changes of the sparse recovery error ratio and using a null space adjustment method to obtain distance recovery vectors according to the dictionary matrix and the observation vector, and obtaining a one-dimensional image according to the distance recovery vectors at every moment. The problem that conventional compressed sensing is sensitive to noises, the number of scattering points is known and redundancy occurs after IFFT in traditional methods is solved mainly, and the method can be used for stepping frequency radar low-altitude obstacle detection and location and is the premise for achieving automatic hedging of a low-altitude aircraft.