In recent years, to accommodate the operational modes being transformed to multi-domain/all-domain joint operation and the weapon equipment being transformed to systematic and cooperative, and to improve the capability of precision strike system of systems in joint-operation and fighting against powerful enemies, USA and other major military powerful countries are making great efforts to carry out the research and development together with preliminary application of intelligentization of precision strike system of systems. They have successfully applied artificial intelligence(AI) in commerce, industry， science and other fields. In this paper, the development of the intelligentization of precision strike systems has been reviewed. The requirements for the intelligentization of advanced precision strike system of systems were investigated. The overall development of intelligentization in the information support system and its engagement chain of precision strike systems were summarized. The key technologies for the intelligentization of precision strike systems were discussed.

Digital transformation is strategically required by military transformation. It’s critical to guarantee the reform of military concepts and plays an indispensable link in winning future wars using intelligent technology. To maintain the war advantage, the US military has been actively promoting its digital transformation during the transition of the fourth industrial revolution. This paper has studied the needs, development goals, significance, and implementation approaches of the digital transformation of the current US Army. Then, specific strategies to promote the digital transformation of China’s military were proposed by establishing standards and specifications, building data models, and personnel digital literacy.

The radar/infrared compound hardware-in-the-loop (HWIL) simulation is a critical means to the design, development and evaluation of compound precision guidance equipment. In this study, the research status of foreign seekers were introduced initially, and then the development status of radar/infrared compound guide HWIL simulation technology domestically and abroad was given. After that, the characteristics of various compound HWIL simulation systems were analyzed, and finally, the prospect of the composite HWIL simulation technology was proposed. This study thus provides a reference for the construction of the simulation system and the implementation of the simulation test.

Film cooling, characterized by long-lasting duration, high cooling efficiency, and reusability, is considered a highly promising thermal protection technology for spacecraft in Earth-to-orbit missions. In the supersonic flow scenario, the research on film cooling has mainly focused on the configuration of tangential slots. Besides, investigations into the use of film cooling by reverse jet on the blunt nose in high supersonic flow have emerged, with promising results indicating effective thermal protection and drag reduction. Considering coolant properties, molecular weight, specific heat, viscosity, and speed of sound all influence the cooling efficiency, the specific heat playing a significant role requires careful evaluation in scaling studies. In the flow conditions, the blowing ratio, the shock waves, and the boundary layer state also affect the film cooling effectiveness. For tangential film cooling conditions, the presence of impinging shock waves diminishes the cooling efficiency, because these shocks elevate the local adiabatic wall temperature while accelerating the coolant's dissipation. Nevertheless, there are limited studies on the interaction between shock waves and cross-jet film cooling, thus further detailed investigations to explore the underlying principles and mechanisms are necessary.

To optimize the efficiencies of the genetic algorithm in anti-ship missile route planning, an anti-ship missile route planning method using a particular quantum genetic algorithm was proposed in this study. Firstly, the feasible route curve was characterized by the sum of several sine waves using the sine function superposition acquired from the Fourier transform. Then, using the quantum genetic algorithm (GGA), the parameters to be optimized in the route model were optimized within the range of values allowing the optimal route. Finally, the effectiveness and optimization efficiencies of the planning method proposed have been verified by mathematical simulation.

With the increasing attack level of hypersonic vehicles, how to accurately predict their trajectory has become critical to defense research. This article has proposed a trajectory prediction model based on parameter estimation, which combines with the Transformer deep learning model. First, this paper developed a control parameter model that affects aerodynamic vehicle maneuvers and summarized the parameters’ controlling rules under different maneuver modes. Secondly, this paper established a trajectory control parameter prediction model based on Transformer architecture and designed a neural network loss function that can balance the optimal control parameters with the physical trajectory. Finally, this article simulated trajectory data for multiple different manoeuvring modes and analyzed the changes in control parameters and trajectory data using the trajectory prediction model. This article has then obtained test results by inputting test trajectory data into the trained model. The results show that the trajectory prediction model proposed in this article performs precise prediction of hypersonic vehicle trajectories under different manoeuvring modes.

Since the current 3D reconstruction evaluation indexes are only suitable for the reconstruction of target visible images, they lack attention to the overall accuracy measurement of the model and ignore the local correctness of the model, indicating that they’re not fully applicable to the 3D reconstruction evaluation of infrared images. In this study, a composite index evaluation model was proposed, including indicators such as the key feature integrity of the reconstruction model, the accuracy of camera pose estimation, and the error benchmark distance of 3D reconstruction evaluation. The simulation results show that the proposed reconstruction model evaluation method performs well robustness under different reconstruction qualities and avoids the problem that a single evaluation index cannot characterize the reconstruction accuracy of the infrared reconstruction model effectively. In addition, this proposed model can accurately quantify the reconstruction effect of point cloud and textured models, especially when compared with the existing three-dimensional reconstruction evaluation method, it is much more comprehensive.

The design of guidance law is critical in the interception system. The accuracy of the commonly used variable structure guidance law decreases while intercepting complex manoeuvring targets, and chattering occurs frequently. This paper has proposed a guidance law design method based on near-end strategy optimization. The guidance problem of intercepting manoeuvring targets was abstracted as a Markov decision process, and a reward function evaluating miss distance and line-of-sight angular rate chattering was applied. Comparative experiments show that the interception effect of the guidance law based on near-end strategy optimization and continuous output performs more effectively and can successfully restrain the chattering phenomenon in the sliding mode guidance law, thus providing a significant research prospect and potential application value.

The electromagnetic characteristics of an ionized gas layer are crucial to measure the degree of air ionization in the simulation-calculated flow field and to obtain the dielectric constant of each vertex under the flow field mesh. In electromagnetic computation, the calculation platform cannot operate if the mesh is too dense or the tetrahedral elements are not uniform, therefore the mesh must be simplified. This work has developed a Monte Carlo stochastic algorithm-based method for mesh simplification to resolve the problem when the number of mesh is higher than the computing platform or their distribution across scales is uneven. Compared to previous simplification methods, the proposed method is straightforward and user-friendly, with a time complexity of O(N) (where N is the number of vertices) and a space complexity of O(N).

This paper has proposed a blind image restoration method using region fusion for estimating the point spread function to address the blur and noise in complex optical imaging conditions of hypersonic vehicles. Extracting the target region and fusing multiple regions can reduce the estimation error of the point spread function of small target images. Firstly, the boundary extension was utilized to resolve the overlap between the target and image boundary. Then, the estimation accuracy of the point spread function was optimized using multi-region weighted fusion and grayscale matching. After that, the effectiveness of the proposed method has been validated by simulations and real images. The results show that this method can effectively suppress background noise and concentrate the energy distribution of the target, thus improving the sharpness and saliency of small targets. This study provides the foundation for small target recognition and precision strikes of hypersonic vehicles.

With the development of frequency agility technology, conventional jamming cannot satisfy the technical requirements, thus bringing the challenges to achieve the ideal jamming effect. In contrast, comb spectrum jamming can conduct frequency-aiming jamming on the working frequency points and resolve the above problems. The field programmable gate array（FPGA ）platform utilizes parallel processing to improve the speed of digital signal processing. The DDS technology can flexibly synthesize signals and is frequently used for radar signal generation. This paper has studied the generation mechanism of comb spectrum jamming and conducted the design and implementation of the jamming waveform using the FPGA platform and direct digital synthesis （DDS） technology. A method of cyclic superposition of multi-frequency points and a random phase based on m-sequence was proposed, which can flexibly control the jamming waveform via adjusting its jamming parameters, and the jamming frequency error is less than 1%.

To evaluate the effectiveness of a phased array radar in complex electromagnetic environments, the anti-jamming evaluation index system and evaluation method were developed. First, the behaviour state changes of the radar after being interfered with were analyzed. Then, three evaluation criteria of anti-interference improvement factor, suppression coefficient and anti-interference ability measurement were constructed, together with four anti-interference measurements including phased array system, frequency agility, multiple frequency fluctuation and side-lobe cancellation. After that, the combination of subjective and objective weight methods determined a relatively more reasonable weight, and the technique for order preference by similarity to an ideal solution （TOPSIS) comprehensive evaluation method was applied to resolve and sort the effectiveness of the anti-interference impacts. Finally, the effectiveness of the proposed method has been verified by simulation analysis. Compared with the simple analytic hierarchy process, the evaluation results show higher stability and it can be concluded that the model obtains significant application value.

To resolve the performance failure of underdetermined DOA estimation of nested arrays under non-uniform noise impact, a nested array DOA estimation algorithm based on Toeplitz matrix reconstruction was developed in this study. First, the covariance matrix of the received data was calculated which enabled the decomposition of the diagonal matrix containing non-uniform noise terms, the selection of the minimum value of diagonal elements to replace other elements, and the reconstruction of the covariance matrix. Then, the received signal after suppressing the non-uniform noise was processed using the KR product, and the array was expanded. The Toeplitz matrix was reconstructed using the processed received signal, and DOA estimation was acquired using eigenvalue decomposition and the MUSIC algorithm. The results show that the proposed method can effectively suppress the non-uniform noise, increase the array aperture, improve the array degree of freedom, and perform better DOA estimation than the existing methods.