Classification And Location About The Targets On The Ground For Missile-borne Radar

In this paper, mainly sutdies the classification and location about the moving andstationary targets on the ground under the background of missile-borne radar.Wheeledvehicles and tracked vehicles are moving targets, bridges as the transport hub,arestationary targets,they both are important military targets on the ground,so in themodern war,accurately and rapidly recognise and locate these targets has great militarystrategic significance.In order to distinguish the wheeled vehicles and the tracked vehicles,a targetclassification and recognition method based on Micro-Doppler frequency is proposed inthis paper. Establish the radar echo models for the targets,and detailed analyze theirechoes to extract the features about Micro-Doppler frequency. Due to the actualsituation, the radar received signals include not only the useful target echo signals, butalso the ground clutter signals,so this paper also establish the statistical models for theground clutter signals,and further studies the method to extract the Micro-Dopplerfrequency under the condition of ground clutter signals. Three-pulse cancellation filteris used in this method to eliminate the negative effects of ground clutter signals. Thecomputer simulation experiments prove the feasibility and the effectively of thismethod.Then, a fast method to detect bridges in SAR images is put forward in this paper.Itfirstly get the low-frequency image which is one fourth of the original SAR image bywavelet decomposition,secondly extract the regions of potential bridge in the imagethat gained in the first step,thirdly we map the regions to the original image’scoordinates,finally use the shape and gray features of the bridge to detect targets whichis in the regions of potential bridge and decrease the number of false targets.Experimental results indicate that the proposed method can effectively improve thebridge detection speed in SAR images in the precondition that the rate of detection isensured.