Research On Three-Dimensional Detection Technology Of Netted Through-the-Wall Radar

Through-the-wall radar(TWR)transmits electromagnetic waves to obtain target information inside the building.It makes the command of field fighters more flexible in the fields of rescue,law enforcement,anti-terrorism and so on.Netted TWR through multiple radar nodes can solve the problems of detection blind areas and target occlusion in traditional single-node TWR.The research on the three-dimensional(3D)detection of multi-target 3D position and human target posture by using netted TWR is not perfect and it is very significative.The research includes:1.For the netted TWR with a single-transmit and single-receive system,an 2D detection model is established.According to the multi-target positioning algorithm based on joint maximum likelihood estimation,two multi-targets algorithm based on the objective function CLEAN and the range image CLEAN are studied.On the one hand,the calculation performance of the two algorithms is analyzed,on the other hand,simulates and analyzes the positioning performance,and both algorithms are tested and verified through the wall.2.Introduced the down-view radar signal model,and studied the side-lobe suppression method based on the range coherence factor.Proposed a down-view netted TWR multi-target 3D positioning algorithm based on the range image CLEAN and simulated analysis.A three-dimensional netted TWR multi-target 3D positioning algorithm that can be applied in practice is proposed,and finally through MATLAB simulation,electromagnetic simulation and actual measurement,verify the feasibility of the algorithm.3.Based on the linear TWR signal model,the 3D imaging algorithm is studied.A self-focusing wall compensation algorithm based on particle swarm optimization is proposed and it is verified by actual measurement.A 3D detection method of human posture is proposed,and the effectiveness of the algorithm is verified in both electromagnetic simulation and actual measurement.