Path Optimization Of Receiver In Passive Coherent Location

Passive coherent location(PCL),indicates that the radar itself does not emit electromagnetic waves,but through the direct wave signal of the transmitter and the signal reflected by the target,the target passive positioning is achieved through coherent processing.In the PCL background,the geometric relationship between the receiving station,the transmitter and the target affect the positioning accuracy.The positions of the three can be adjusted according to tracking task to achieve better tracking performance.This paper focuses on passive coherent location systems and improves the accuracy of system tracking through path optimization of airborne receiver or airborne transmitter,as follows:In order to solve the problem of path optimization of receiver in passive coherent location system(PCL)with clutter,a path optimization of receiver algorithm based amplitude information is presented.Firstly,amplitude information is added to the measurement information to improve the accuracy of target location.Then,the minimum trace of the posterior Cramér–Rao lower bound(PCRLB)of target is taken as the optimizing criterion,and constraints such as kinematic capabilities of receiver are considered,the optimization model of receiver is established,optimizing receiver trajectory through interior point method.Finally,the probability data association filtering algorithm based amplitude information is used to obtain the target estimation state.The results of simulation experiment prove the effectiveness of the algorithm.Furthermore,in order to solve the problem of joint path optimization of receiver and transmitter based amplitude information in passive coherent location system with clutter,a path Joint optimization of receiver and transmitter based amplitude information is presented.First amplitude is added,joint path optimization of receiver and transmitter to improve tracking performance,clutter is considered,and it is more perfectly with engineering facts.Then,the minimum trace of the PCRLB(Posterior Cramér–Rao Lower Bound)of target is taken as the optimizing criterion,and constraints such as kinematic capabilities of receiver are considered,the optimization model of receiver is established,optimizing receiver trajectory through interior point method.Finally,the probability data association filtering algorithm based amplitude information is used to obtain the target estimation state.The results of simulationexperiment prove the effectiveness of the algorithm.Considering a certain height in three-dimensional space and considering the situation of non-cooperative airborne transmitter,a path method for airborne receiver based on dynamic programming and height parameterization is proposed.First,the target and transmitter states are predicted,and then the target estimated posterior Crame'r–Rao lower bound is used as the optimization index to establish the pick-up and receiver path optimization model,and the receiver trajectory is optimized by the interior point method.Finally,the target-derived measurement in the clutter is extracted through dynamic programming,the height of the target is estimated using parametric,and the target and non-cooperative transmitter are jointly estimated using extended Kalman filtering.Simulation experiments prove that the method in this chapter can achieve target height estimation and target detection and tracking in the case of clutter,which effectively improves target detection and tracking performance in the case of clutter.