| Ballistic missiles play a crucial role in modern warfare by deterring and limiting wars,striking strategic targets from afar,and providing effective fire support.However,the development of missile interception technology poses a significant threat to ballistic targets.Interceptor missiles have faster flight speed,higher guidance accuracy,and stronger maneuvering response capabilities,making it challenging for the attacking side to detect and obtain target information.Furthermore,interceptor missiles launched beyond the attacking side’s defense zone pose a challenge for the detection equipment of the attacking side,making it difficult to achieve long-range all-round detection of interceptor missiles and resulting in difficulty obtaining accurate target information.Therefore,using a missile-borne platform for detecting and tracking interceptor missiles,in order to carry out evasion and breakthrough,is a necessary and feasible method.Infrared detectors have several advantages,including small size,light weight,low power consumption,and immunity to the complex electromagnetic environment of the battlefield,ensuring a large effective range while maintaining platform concealment.In both performance simulation and practical application,missile-borne infrared detectors have demonstrated excellent results,making them the preferred means of detection for missile-borne platforms.Therefore,this paper focuses on the detection of interceptor missile using missile-borne infrared detector.The research is based on the analysis of the detection capability of the missile-borne infrared detector for interceptor missile,as well as the trajectory estimation of the boost phase of the interceptor missile,the trajectory estimation and prediction of the guidance phase of the interceptor missile,and other aspects.The specific research content are as follows:1.Aiming at the feasibility of the missile-borne infrared detector to detect interceptor missile,the detection capability of the missile-borne infrared detector has been studied in two ways:the detection probability and the operating distance.First,the infrared radiation calculation model of the interceptor missile is analysed,and the parameters of the infrared detector used to detect the interceptor missile are given.At the same time,the detection probability model and the operating distance model were derived.On this basis,the detection capability of the missile-borne infrared detector was analysed based on a specific simulation detection scenario.The simulation results show that the missile-borne infrared detector has strong detection and tracking capabilities for the interceptor missile,ensuring continuous and stable measurement data acquisition for the interceptor missile and providing data input for subsequent trajectory estimation.2.For trajectory estimation of the boost phase of interceptor missile using the missile-borne infrared detector,the main purpose is to improve the accuracy of trajectory estimation and obtain more identification and estimation information,the Multi-Model Adaptive Estimation Unscented Kalman Filter(MMAE-UKF)algorithm based on dynamic feature templates for the boost phase of interceptor missile is proposed.First,the dynamic feature template was constructed and the flight program angle model was summarised.Then,the accurate motion model for the boost phase was constructed using the dynamic feature template,and the infrared detection model on the missile platform was derived.The initial positioning equation and the iterative calculation method for the interceptor missile were given,and the process noise variance was designed.Finally,a nonlinear MMAE model set was constructed based on the dynamic feature templates of different flight program angle models,and the UKF algorithm was used as the unit filter to construct the MMAE-UKF filtering calculation process.The simulation results show that the proposed algorithm can accurately estimate the motion state of the interceptor missile and quickly identify the flight program angle model and design parameters used in the boost stage,providing theoretical support for understanding the design of the boost stage flight program of the interceptor missile.3.For trajectory estimation and prediction of the guidance phase of interceptor missile using the missile-borne infrared detector,the main purpose is to solve the problem of insufficient universality caused by the limited model set of traditional guidance law identification methods and the inability of deep learning methods to estimate motion states.At the same time,it is necessary to analyse the impact of initial value errors in trajectory prediction on trajectory prediction.Therefore,based on the idea of zero line-of-sight angular rate,different guidance laws are equivalent to proportional navigation(PN)with different guidance law coefficients,and system observability is demonstrated and analysed using matrix theory.On this basis,an augmented state unscented Kalman filtering algorithm is proposed for the identification and estimation of the guidance law coefficients and motion states.Then,the initial value of the trajectory prediction is determined,an accurate trajectory prediction equation is constructed,and the Unscented Transformation(UT)is used for the trajectory prediction and error propagation analysis.The simulation results show that the algorithm proposed in this paper can accurately estimate the guidance law coefficients and motion states,and has better universality.The trajectory prediction results can provide theoretical support for missile-based platforms for interception avoidance and manoeuvre penetration.4.In order to more intuitively demonstrate the algorithms for estimating and predicting the trajectory of an interceptor missile using a missile-borne infrared detector,the models and mathematical algorithms mentioned above were integrated and implemented,and the simulation system for estimating and predicting the trajectory of an interceptor missile using a missile-borne infrared detector was developed based on Matlab App. |
