Research And Implementation Of Multimode Tracking Algorithm Of ESM Sensor

In the current military warfare,electronic warfare and information warfare are playing a more and more important role.This research focuses on the study of passive tracking techniques under the condition of bearing-only measurement.Passive tracking techniques refers to a situation where the sensor works passively in which the sensor only receive but do not launch radiation signals,thus leading to the strong adaptation ability of the sensor.For that reason the passive tracking techniques gradually develops into an important branch in modern electronic battlefield system.On the background of EMS sensor tracking system tracking on radiation source based on the angel information formed by bearing line,this thesis studies tracking techniques of single/multi-ESM sensor towards a fixed target,single/multi-ESM sensor towards moving target or maneuvering target under the situation of even-intervals and uneven-intervals.The main work and conclusions from this research are as follows:1)Regarding the research on the issue of multiple moving ESM sensors tracking static radiation source,this thesis discusses and proposes a Total Least Squares algorithm based on the larger interval measurement and Grubbs principles.In consideration of the influence of discrete data on batch algorithms,big-interval measurement is proposed to acquire relatively discrete data.Then based on the data filtered by Grubbs principles.Total Least Squares is used to track static target.2)Regarding the issue of single/multi-ESM sensor tracking moving(maneuvering)target under the situation of even intervals,this thesis proposes Modified Interacting Multiple Model Centralized Shifted Rayleigh Filter(MIMM-CSRF).This algorithm presents Gauss-type membership function,which is based on norm normalization,as a probability estimation function of model to solve jumping problems that appears in maximum likelihood function.Since there is still big error in accelerating estimation of Interacting Multiple Model algorithm,this algorithm introduces two-stage acceleration correction algorithm,wherein an acceleration correction algorithm using median filter to smooth and optimize the filter system predicted acceleration,two acceleration correction algorithm using the current statistical model to correct acceleration variance,to realize in real time targetmaneuver to react quickly,improve tracking accuracy.3)Regarding the issue of single/multi-ESM sensor tracking moving(maneuvering)target under the situation of uneven intervals,this thesis proposes Irregular intervals MIMM-CSRF algorithm based on Optimal Fusion.The algorithm uses the processing method for measuring the periodic characteristics in the uneven interval federated filtering algorithm to achieve barrier-free operation of the entire positioning system,which solves the fusion problem of ESM sensors tracking at the same time in each measurement periodic.On the basis of parallel working mechanism,the main ESM sensor count the number of ESM sensors which are involved in the current measurement period,and then uses MIMM-CSRF algorithm to track the moving target.The experimental results show that algorithms proposed in the thesis for ESM sensor can effectively locate and track the static and moving targets accurately.