| With the rapid development of modern science and technology,radar,which is known as the "eye of war",plays an indispensable role in both military and civilian application.MIMO radar is one of the new radar systems in recent years.Compared with the traditional phased array radar,its sub-arrays transmit correlated or partially correlated waveforms.It can flexibly change the beam width by sub-array division,therefore,it can achieve the purpose of one beam illuminating multiple targets simultaneously,or multiple beams illuminating multiple targets simultaneously.It is very suitable for multi-target tracking field.In addition,radar network has become a hot research topic because of its better spatial diversity compared with monostatic radar,which can further improve the tracking performance of multi-target.In real life,the limitation of system resources or the anti-interception performance required by radar tasks lead to the necessity of resource management.This thesis studies the target tracking algorithm based on nonlinear measurement,adaptive resource management based on the collocated MIMO radar,phased array radar network and the collocated MIMO radar network.The specific contents are as follows:1.For the problem of nonlinear measurement,target tracking algorithms based on nonlinear measurement in non-maneuvering scene and maneuvering scene are studied.Firstly,non-maneuvering target tracking algorithm based on nonlinear measurement is studied,including target tracking algorithm based on position measurement conversion and nonlinear target tracking algorithm with Doppler measurement information.Based on above,the filtering tracking algorithm of maneuvering target based on nonlinear measurement is further studied.Finally,the tracking performance of the above algorithms in non-maneuvering and maneuvering scenarios is verified.2.For the resource management problem of collocated MIMO radar,adaptive resource management algorithms for single wide-beam collocated MIMO radar and simultaneous multi-beam collocated MIMO radar are proposed respectively.Firstly,the optimization model is established,and the corresponding optimization algorithm is obtained by solving the optimization problem,achieving the adaptive selection of the system working parameters.Finally,the simulation results show that the two algorithms both can realize the adaptive selection of the system parameters.Compared with the fixed parameter algorithms,the proposed algorithm has smaller objective function,which demonstrates its superiority.3.For the problem of resource management baesd on the phased array radar network,adaptive resource management algorithms for distributed and centralized phased array radar network are proposed respectively.The built optimization model minimize the consumption of system resources under certain tracking accuracy.By solving the optimization problem,the corresponding optimization algorithm is obtained,adaptively selecting system working parameters.The simulation results show that the phased array radar network can achieve adaptive working parameters selection well,including the target to be updated,working radars and the transmitting energy,which guarantees the desired tracking performance while minimizes the resource consumption.4.For the problem of adaptive resource management based on the collocated MIMO radar network,the adaptive resource management algorithms of distributed collocated MIMO radar network and centralized multi-beam collocated MIMO radar network are proposed respectively.The proposed optimization model can minimize the consumption of space-time resources while ensuring the effective target detection and expected tracking accuracy.In order to solve the optimization problem,an objective function which considers the system resource consumption and the overall tracking performance is established,and a new tracking accuracy biased function is used to evaluate is introduced to evaluate the deviation of each target from the expected tracking accuracy.Finally,the simulation results of the two proposed algorithms are given.The collocated MIMO radar network can achieve the purpose of adaptive selection of multi-target detection mode with the flexible change of the number of sub-array.Compared with the fixed parameter algorithms,the advantages of the proposed algorithm are verified. |
