| Networked radar processes distributed multi-node radar echo signals and it can be used to detect the targets effectively.The sparse networked radar can maximize the distributed MIMO radar characteristics.It has high detection accuracy,strong detection capacity,wide detection range,strong maneuverability,strong anti-interference and interception capacity and other advantages.This thesis explores the signal processing algorithm for sparse networked MIMO radar near-field target detection;designs the system radar error correction method and completes the correction based on the experimental site conditions;designs a networked radar target detection system;analyzes system performance and expenses through the simulation;verify the system functions through field measurement tests and study the system performance.This system can do high-speed processing of sparse networked radar multi-node echo signals through parallel computing of GPUs in high performance computers to achieve accurate detection of target orientation information.The main research content of this thesis is as follows:(1)Based on the distributed MIMO radar near-field receiving signal model,combining the traditional radar target detection signal processing process with a near field multi-channel coherent synthesis algorithm,the sparse networked MIMO radar near field target detection signal processing process is presented,and specific algorithms involved in each module are introduced.For the false target problem caused by multiple and high side lobes in the pattern of sparse networked MIMO radar system,two methods for eliminating false targets,array stagger and carrier frequency agility,are given by studying the factors that affect the beam side lobe position.(2)Study the inconsistency between the transmitting and receiving signal of different radars in the distributed radar system.Firstly,explore the influence of the different kinds of inconsistency in the multi-channel signal synthesis result Then,with the help of auxiliary radar and adaptive algorithm the inconsistency correction of each radar in the system are completed(3)Use the efficient parallel computing of GPU to implement various module algorithms in target detection signal processing,improving the data processing speed of sparse networked MIMO radar systems.Establish a sparse networked MIMO radar nearfield target detection system according to the signal processing process.Analyze the system computational overhead,storage overhead,transmission overhead.Design test scenarios,generate simulation data according to simulation scenarios,and complete system testing.(4)Deploy the above system in the sparse distributed multi-node radar,processing the multi-node echo signals in real time to conduct the airspace target detection experiment.According to the actual formation of the modes,choosing the civil aviation aircraft as the experimental target,design the experimental scene,verify the system function and test the actual performance of the system. |
