Research On Target Location And Tracking Based On Distributed Multi-platforms

Renovation of science and technology results in the conversion to informatization and intelligence of combat forms.As the single observation platform may easily suffer from limited data processing capabilities and reliability,the detection technology with multi-platforms has increasingly attracted scholarly attention,and becomes one of the active research areas in domestic and in abroad.To enhance the invulnerability and concealment of the system,the spatial configuration of obsevation platforms,information processing center and fire units turns to more decentralized.Therefore,to research the problem of target location and tracking based on distributed multi-platforms is of great theoretical and practical significance.On the basis of existing resluts,this dissertation gives a deep study on target location and tracking based on distributed multi-platforms combining the engineering application.The main results and contributions of this dissertation are summarized as follows:(1)In the actual system,the quantization communication is used between observation platforms and the information processing center.The quantization error will be bound to affect the accuracy of target location and tracking.For the limited channel capacity,the quantization level can not be improved endlessly.In order to determine the quantization level of sensors in quantized measurements,a new filter with allowable quantization level as low as possible was designed for given constraints of variance.The condition of the stability of error covariance matrix and a LMI method for current-estimation-type steady filter were presented.It means that,on the premise of meeting the system estimation variance,the designers can choose the sensors with lower quantization level,which can reduce the cost of communication device.A numerical example shows the usefulness and flexibility of the proposed approach.(2)In the distributed spatial configuration,the baseline measurement error will affect the accuracy of target tracking and hit probability.In order to choose the rational baseline measurement equipment on the premise that the accuracy of target tracking and hit probability can meet the given ndicators,we firstly study the admissible measurement error of baseline with variance-constrained and provide a condition of the stability of error covariance matrix and a LMI method for steady-state Kalman filter design.Then,in order to optimize the index of baseline measurement precision for amending the baselines of observation equipment-to-Mobile platforms,an error formula from the baseline errors of observation equipment to target location errors is presented and the system hit probability is calculated in these conditions.Theoretical analysis and Monte-Carlo simulations show that the baseline measurement precision of observation platform-to-fire unit has more significant influence on hit probability than the baseline measurement precision of observation platforms.(3)The distributed tracking-centralized fusion method is widely used in target location and tracking with multi-platforms,in which the data fusion is done by the information center.If the communication links between the center and observation platforms were failure or the center node break down,it would reduce the accuracy of tracking.Thus,we propose a distributed tracking algorithm based on multi-agent systems.Firstly,observation platforms obtain the local estimates using their own measurements.Then through utilizing the data of neighbor nodes to update the local estimates,estimates in the networks can reach dynamic average-consensus.The numerical simulation demonstrates that the algorithm proposed in this paper can improve the accuracy and consensus of estimation,and it is more robust with incomplete measurements.(4)As the traditional tracking system may suffer from some threats,such as electrical interference,anti-radiation attack,and low altitude penetration,we consider the problem of multi-station bearings-only passive positioning and tracking by intersection approach.First,the angle measurement data of single sensor are calibrated due to time deviation and the angle measurement data of multi-sensors are registrated.Then,a global preferred strategy based on the intersection principle of the two cross positioning lines is proposed.A target location and tracking estimation algorithm for bearings-only system with multiple distributed stations is realized.Monte carlo simulation show that the proposed target location and tracking estimation algorithm based on the global preferred strategy for bearings-only system,compared with the traditional cross positioning and tracking algorithms,has a higher precision.