Research On Resource Optimization Technology For Distributed Radar Network

Distributed radar network system is a new radar system composed of multiple radars with discrete spatial positions.Through networking technology,the radars in the net are organized together to complete various tasks.Compared with a single radar,distributed radar network has the advantages of strong anti-destroy ability,strong anti-jamming ability,high resource freedom,and no blind zone and full airspace coverage.It has become one of the important directions of radar development.Optimizing the allocation of system resources can maximize the potential of the system and improve the overall combat capability under limited resources.It is a key technology for distributed radar network to exert its advantages.This thesis focuses on the optimization technology of distributed radar network,and researches on the optimization of station deployment and power allocation of distributed radar network under single and multiple objective functions.The main works are as follows:1.The problem of optimal deployment of single-objective function distributed radar network based on detection performance is studied.The worst detection probability is used as the objective function to establish an optimized station deployment model,and the constrained optimization algorithm and the particle swarm optimization(PSO)algorithm are used to solve it.Aiming at the problem of poor optimization performance of the traditional constrained optimization algorithm,the sparse weighting method is used to improve it,and an improved constrained optimization algorithm based on detection performance is proposed.The three algorithms are simulated and compared,and the proposed algorithm achieves a good balance between running time and performance.It is a very practical method for optimizing radar stations.2.The power distribution problem of single objective function distributed radar network based on detection performance and tracking performance is studied respectively.In the distributed radar network power allocation algorithm based on detection performance,two optimization models are studied and solved.The results show that the algorithm can significantly improve the detection performance of distributed radar network and achieve the optimal radar transmit power distribution.Considering the clutter environment,a distributed radar network power allocation algorithm based on tracking performance is proposed.Firstly,a system model in a clutter environment is established,and the JMSPDA algorithm is used to estimate the state of the target;secondly,the Bayesian Cramér-Rao Lower Bound in a clutter environment is derived as a measure of target tracking accuracy The index;finally establish an optimization model and use the SPG power distribution algorithm to solve it.3.Aiming at the problem of multi-objective function optimization,a joint target detection and positioning optimization station algorithm and a joint detection,positioning and tracking power optimization algorithm are proposed.In a three-dimensional scene,the coverage rate,positioning accuracy and signal-to-noise ratio,positioning accuracy,and tracking accuracy of the distributed radar network are used as indicators to establish an optimization model and use the MOPSO algorithm to solve the problem.Multiple sets of Pareto solutions obtained by the two algorithms,Can meet the needs of diversified resource allocation,and can simultaneously improve the detection,positioning performance and detection,positioning and tracking performance of the distributed radar network.In actual engineering,suitable solutions can be selected according to different task requirements.