Research On Collaborative Sensing And Resource Management Of Networked Radar

In recent years,the way that improves the target sensing capability of radar by form-ing a networked radar system through connections of nodes has received widespread at-tention from scholars.Networked radar systems can be formulated via connected radar nodes that have different architecture,operating frequency bands and spatial distributions.On the one hand,through the fusion of diverse information,the networked radars can im-prove target sensing capability in a coordinated manner.On the other hand,due to the degree of freedom brought by multiple radar nodes,the networked radar system has ex-tremely high flexibility.Therefore,through resource management methods,it can achieve good compromise between sensing performance and resource consumption,and improve resilience for different situations.From the perspective of networked radar target collab-orative sensing and resource management,it can be typically divided into collaborative detection and parameter estimation under static resource allocation,and the collaborative target tracking under dynamic resource scheduling.Focusing on these issues,this disser-tation develops different resource management methods according to the scenarios and purposes of collaborative sensing of networked radars,the main contributions and inno-vations are as follows:1.For the collaborative detection of distributed MIMO radar in clutter,based on de-tection performance that characterized by information distance,the transmit power allocation optimization problem of radar nodes is established.The convex upper bound function is derived,and the optimization algorithm based on the framework of MM is proposed.The effective optimal allocation of transmit power and collab-orative detection performance improvement are realized.2.For the collaborative localization of distributed MIMO radar under a limited number of nodes,the performance metric based on CRLB is derived.Making use of the ideal signal assumption,the optimization model of j oint selection of transceivers is established,the optimization algorithm based on SDP is proposed.For the general signal model,the bi-convex optimization model of joint selection of transceivers is established,and the optimization algorithm based NADMM is proposed.The low complex optimal selection of transceivers,and the the improvement of regional localization performance of distributed MIMO radar are realized.3.The collaborative targets tracking under the requirement of spectrum coexistence by networked phased array radars and ESA is studied.The interference models of the coexisting parties of each other are formulated.Characterizing the tracking per-formance by PCRLB,the spatial spectral awareness dynamical resource schedul-ing optimization model of networked radars is established.Consider the random nonconvex problem,an efficient convex relaxation based two-staged optimization algorithm is proposed.The tracking performance of the networked phased array radar is improved in the presence of spectrum coexistence requirements with ESAs.4.The collaborative targets tracking by networked colocated MIMO radars with lim-ited resources is studied.Taking minimization of resource consumption and tar-get priority cost as optimization goal,targets tracking performance characterized by PCRLB as constraints,the adaptive dynamical resource scheduling model is formed.Based on the separable structure of the problem,a distributed subgradi-ent optimization algorithm is proposed.Taking the radar subset variation caused by resource scheduling into consideration,an adequate distributed fusion rule and tracking algorithm are proposed.Through algorithms of distributed resource allo-cation and tracking,the close loop tracking of resource adaptive networked colo-catated MIMO radar is realized.