In order to meet the needs of operational effectiveness evaluation of reconnaissance and strike integrated UAV equipment in the evaluation and finalization stage, the operational effectiveness evaluation index system of UAV equipment is constructed, and an improved analytic hierarchy process (AHP) method is put forward to weight the operational effectiveness evaluation index of UAV equipment. Improved grey-AHP model for UAV equipment operational effectiveness evaluation is established. Compared with the traditional one, the method proposed in this paper is easier and weight value calculated is more closed to the real value. The operational effectiveness of UAV equipment of three development schemes are sorted to verify the effectiveness and feasibility of this method.

In view of the new requirements in the field of composite material missile launch canister cover development, this paper designed a kind of split burst composite material fissile cover which has the functions of rebound and reset, and proposed a design scheme of the meso-structure of the weak zone and the functional zone of the rebound and reset. The test results showed that the structure design of the fissile cover was reasonable; the cover body could crack from the middle to the flange root part under the force of the missile nose; and the split cover could automatically rebound and close after the ejection of the missile body. In the paper, the static pressure-bearing deformation finite element model and the dynamic split burst finite element model of the fissile cover were established respectively, which can effectively predict the maximum deformation and broken force, and the errors were 4.08% and 19.64% respectively. Based on the finite element models, the effects of the number of layers of the fissile cover body, and the number of reinforced layers in different regions, and the number of different functional layers on the maximum deformation of the fissile cover were analyzed, and the mechanisms of the damage failure in the weak region and the rebound and reset in the functional region were studied.

In order to estimate and calibrate the thermo physical parameters based on the temperature measured from the material, the processes combined with Levenberg-Marquardt (L-M) optimization algorithm, one-dimensional nonlinear and unsteady heat conduction equations for identification of temperature-dependent thermophysical parameters and confidence interval estimation of parameters are proposed in this paper. Through two numerical examples to evaluate the method in this paper, the results show that：1) The accuracy of thermophysical parameters identification is affected by fixed parameters assignment. When the fixed parameters are assigned true values, the identification results of other parameters are unbiased, conversely the identification results are biased. 2) The uncertainty of the identification results is positively correlated with the noise level of identification data. 3) When the thermal conductivities and specific heat capacities are identified at the same time, the specific heat capacities identification accuracy is higher than the thermal conductivities. 4) Both F-test method and asymptotic standard error can estimate the confidence interval of the identification parameters and reflect their degree of uncertainty. The F-test method can also reflect the degree of nonlinearity of the uncertainty. From the results of two examples, it can be seen that the identification method for temperature-dependent thermophysical parameters proposed in this paper is feasible and the accuracy meets the requirements of engineering application.

With the development of computer technology and artificial intelligence, machine learning has shown its excellent performance in image, speech, natural language processing and other fields. It has quickly become one of the hottest technologies in the industry. In the meantime, to meet the needs of future air combat, new technologies in intelligent detection and intelligent fuze-warhead coordination need to be developed for fuze-warhead system. By analyzing the application of machine learning in regression and classification, this paper puts forward the basic methods and application prospects of machine learning in fuze-warhead coordination law designing, experiment data generation and target vital parts recognition. and points out the direction for the development of fuze-warhead system to intelligent and efficient damage.

With the increase of the number of UAVs, the possibility of fault occurrence and the difficulty of fault diagnosis increase. In this paper, taking the UAV flight control system actuator as the research object, considering the nonlinearity and external disturbance of the flight process, a neural network observer fault diagnosis method for the actuator is proposed, in which the weights and center values of the neural network can be updated online to avoid the difficulty of parameter selection. At the same time, the nonlinear term of the system is effectively dealt with. The relative output error is introduced into the UAV formation by using the long-wingman formation strategy, and the relative output error is described by undirected topological structure diagram, so that the designed neural network observer can reflect the communication connection between UAVs. The Kronecker product is used to represent the global vector of UAV formation system, and the stability conditions of the designed neural network observer are derived from the global point of view by using Lyapunov stability theory. The simulation results show that the designed neural network observer can diagnose the constant and time-varying faults occurring at the same time, different times, same channel and different channels.

In order to comprehensively and reasonably measure the advantages and disadvantages of regional air defense deployment, a roulette strategy based solution method is proposed in this paper. Cover capability and firing efficiency are taken as target functions to realize the unification of subjective experience and objective results, and firepower allocation and combat formation are introduced into the constraint conditions to expand its connotation. In the aspect of model solving, this paper presents a method based on roulette strategy to solve the problem. The selection of the points of each system in the process of air defense deployment can be regard as a game of chess, and the roulette strategy is used to improve the level of each placement point, after the maximum number of calculations is completed, the optimal deployment scheme is selected from all the schemes. Finally, an example is given to show that the proposed method can not only guarantee the global search, but also realize the division of the non-optional points.

Aiming at the problem of intercepting hypersonic vehicles, the nonlinear differential game theory is applied to study the problem of intercepting hypersonic vehicles with small missile-to-target speed ratio. Thus, the interception problem is transformed into state-dependent coefficient (SDC) and algebraic Riccati Equation, and the analytical form of the differential game guidance law based on the state-dependent Riccati equation method is given. For the three scenarios of hypersonic vehicle with different maneuverability and different missile-to-target speed ratios, simulation experiments are carried out respectively. Meanwhile, comparisons are made with the proportional guidance law and the adaptive sliding mode guidance law, which demonstrates that the proposed guidance law can effectively intercept hypersonic vehicles with small missile-to-target speed ratio.

In order to solve the multi-vs-one interception problem, the cooperative confrontation guidance law based on differential game was studied, and the multi-vs-one linear relative motion equation was constructed. By analyzing the principle of game theory, the performance function of two-side game confrontation was constructed, and the state transition matrix was used to reduce the dimension of the state equation. Based on the optimal control principle, the cooperative confrontation guidance law from multi-vs-one confrontation game angle was solved. By analyzing the process of two-stop-one confrontation, the differential game guidance law of two-stop-one cooperative confrontation is obtained. For different types of targets, the simulation of two-stop-one guidance law is carried out for performance verification, so as to reflect the effectiveness of the guidance law proposed in this paper in the process of cooperative interception of targets.

3. School of Astronautics， Beihang University， Beijing 100191， China） Abstract: In order to solve the reentry guidance law design problem of hypersonic vehicle in complex environment, a design method of no-fly zone avoidance reentry guidance law is proposed aiming at the avoidance requirements of no-fly zone such as terrain, geopolitics and air defense interception in reentry process. The longitudinal guidance law realizes fast trajectory planning based on reentry flight corridor method. The lateral guidance law adopts the line-of-sight angle deviation corridor to realize the no-fly zone avoidance and target tracking, and the online prediction correction guidance module is designed according to the range error. The effectiveness of the longitudinal and lateral guidance laws is verified by numerical simulation. The simulation results show that the process constraint and the no-fly zone constraint can be satisfied.

The integrated framework for reconnaissance and jamming of sweep guidance, fast guidance and modulation bandwidth converter is analyzed in the paper. Miniaturization, modularization and localization will become the development trend of the integrated equipment for electronic reconnaissance and jamming. The development status of electronic reconnaissance and jamming technology is analyzed from the aspects of electronic reconnaissance technology, electronic jamming technology and transceiver isolation technology of electronic reconnaissance and jamming system. The wideband digital channelized receiving and transmitting, ultra-wideband jamming, distributed jamming and cognitive jamming will become the development trend of electronic reconnaissance and jamming technology. For the urgent national demand for independent localization application, the localization development status of integrated equipment for electronic reconnaissance and jamming is studied. The new integrated equipment for electronic reconnaissance and jamming with 100% localization will become the development trend in the future.

In radar high-resolution range profile target recognition, the representation of data can influence the performance of the classifier significantly. In order to make the data representation more separable, this paper proposes a variational auto-encoder with disentangled representation. By modeling the common representation between different class and the distinctive representation respectively, after optimizing the parameter of the network, it can extract a more separable representation of the data. The measured HRRP data are used to show the effectiveness and efficiency of the algorithm.

In order to solve the problem that traditional DOA estimation algorithm cannot achieve high precision estimation in the environment of strong impulsivde noise, a two-dimensional DOA estimation algorithm based on a new correntropy-based covariance matrix (CBCM) is proposed. The new correlation entropy covariance matrix is used to replace the autocorrelation function in the traditional subspace algorithm, and the suppression effect of correlation entropy on impulsive noise is fully applied to the field of DOA estimation, and the two-dimensional angle estimation in uniform circular array is realized by combining the rotating invariant subspace algorithm (ESPRIT). Computer simulation result shows that the proposed algorithm can accurately estimate the azimuth angle and pitch angle of the source. Compared with other algorithms, the proposed algorithm can maintain the advantages of high accuracy and low error in extremely high impulsive noise environments along with low generalized signal to noise ratio (GSNR) levels and few available snapshots.