The radar seeker simulation system is crucial for the process of the seeker striking the target accurately. As simulation systems become more complex and data processing demands grow, traditional serial computing methods can no longer satisfy the strict real-time requirements of radar seeker digital simulations. To address the challenge of lengthy simulation times in the radar seeker simulation process, this paper proposes a full-process digital real-time simulation method. Firstly, the core components of the traditional full-process simulation architecture—receiving and controlling system commands, simulating echo data reception, SAR imaging processing, uploading imaging results, and dynamically updating the user interface—are restructured into a pipeline-based parallelization framework. Secondly, the SAR imaging algorithm's primary steps are parallelized using the OpenMP multi-core parallel programming model on multi-core CPUs. Furthermore, the high-performance mathematical computing library FFTW3 is introduced to quickly realize the Fourier transform of the imaging algorithm to accelerate the processing speed of the SAR imaging algorithm. Finally, the simulation results show that compared with the traditional serial simulation, the acceleration ratio of the whole process design method reaches about 100 times, and the similarity of SAR images before and after acceleration is close to 1. Under the premise of consistent processing accuracy and effect, this approach enables full-process real-time simulation of the radar seeker system, showcasing promising prospects for practical engineering applications.

When a ship is sailing on the sea, the attitude of the ship changes in real - time due to the influence of the ship's own movement, wind, and waves. And it is difficult to accurately measure the ship's attitude in real - time from an aircraft. In order to solve the above problems, a pose - estimation method integrating the traditional template - matching method and the deep - learning method was designed. The deep - learning method improves the accuracy, robustness, and environmental adaptability of pose estimation, while the real - time performance of pose estimation is enhanced by combining it with the template - matching method based on contour features. Firstly, the three - dimensional model of the target ship was used to render the multi - pose images of the ship, and the ship attitude template library was established through the instance segmentation algorithm. Then, the visible - light images of the target ship were collected. The ship - matching images were obtained through the target - detection and instance - segmentation algorithms. These ship - matching images were matched with the images in the ship - attitude template database, and the attitude corresponding to the successfully - matched ship - attitude template image was the attitude of the ship. Through simulation verification, the accuracy of 3D attitude estimation could reach 1°.

As one of the important means of data transmission between satellites, laser communication has a direct impact on the performance of the constellation system due to its fast and stable link establishment ability. The laser communication terminal relies on a high-precision optical tracking system to achieve continuous and stable pointing of the signal beam to the target satellite. However, space environmental factors can interfere with the pointing accuracy of laser terminals, and their influence can reach the level of milliarcsecond measurements. The deformation of the satellite structure caused by thermal expansion, cold contraction and stress changes during the satellite operation in orbit leads to the rigid displacement of the laser terminal pointing accuracy compared with the reference position of the satellite platform. In this paper, based on the application background of the rapid and stable chain construction of inter-satellite laser communication links, the finite element analysis method is used to study the pointing error caused by the thermally induced deformation of the laser terminal datum and the satellite platform star sensitive datum. By analyzing the installation reference error caused by the thermal deformation of satellites at different orbit altitudes, the variation law of laser communication link pointing error is obtained, which provides an analytical basis for the rapid and stable chain construction, and provides a design reference for the module layout and overall thermal control of the whole satellite.

This study investigates the application of flower-shaped bionic topology in phased array antenna liquid cooling systems through computational fluid dynamics (CFD) simulations and experimental validation. The phased array antenna comprises a rectangular transmitting module, 4 L-shaped receiving modules and 12 rectangular receiving modules. All these three types of liquid cooling plates are designed to form either a flower-shaped bionic topology or a fully parallel topology. Comparative analysis reveals that the flower-shaped bionic topology offers a highly efficient thermal control solution. The temperature gradient of the antenna employing flower-shaped bionic topology is significantly smaller than that of the fully parallel topology. The temperature difference between modules is controlled to ±3 ℃, representing an 8%~15% improvement over the fully parallel topology.

With the advancement of remote sensing technology, there is an increasing demand for high-resolution remote sensing images. However, due to the limitations of optical devices, insufficient sensor resolution, and factors such as satellite orbital height, the imaging equipment captured remote sensing images often cannot achieve the ideal resolution, and the imaging effect is not satisfactory, which brings great trouble to researchers in extracting and analyzing the features of remote sensing images. To solve this problem, a modular and reconfigurable system architecture is used, and a multi-row buffer pipeline mechanism is implemented based on the FPGA hardware platform to design real-time processing modules such as bilateral filtering, upsampling, and downsampling. Image pyramids and Laplacian pyramids are constructed, and image interpolation is performed layer by layer to achieve high-resolution imaging. The overall system hardware design is based on the Xilinx XC7A35T FPGA chip and its synthesis results are analyzed for performance indicators. The system has good portability. With the clock frequency of the image processing modules in the system set to 180 MHz, the delay is less than 5 ms, which can meet the real-time requirements of the system.

The annual large-scale outbreak of Enteromorpha prolifera in the Yellow Sea brings serious harm to the marine environment. Monitoring it by remote sensing technology is the most effective early warning method for dealing with the Enteromorpha prolifera disaster. In remote sensing images, Enteromorpha prolifera is mostly discrete small targets with irregular shapes, and traditional interpretation algorithms suffer from low interpretation accuracy and efficiency. To address this issue, this paper proposes a high-precision Enteromorpha prolifera detection method based on the PSPNet network, which embeds the DAM attention mechanism module to enhance the network's attention to Enteromorpha prolifera regions in remote sensing images. Then, the DBSCAN clustering algorithm is used to draw the contours of Enteromorpha prolifera regions and provide Enteromorpha prolifera interpretation results. Experimental results on MODIS remote sensing images of Enteromorpha prolifera show that the PSPNet+DAM model can achieve high-precision and high-efficiency Enteromorpha prolifera detection, and the DBSCAN clustering method can quickly generate interpreted images of Enteromorpha prolifera. The proposed framework in this paper can provide technical support for the early warning and disposal of Enteromorpha prolifera disasters.

A D-band SIW slot antenna was proposed in this paper. The feeding network consists of a CPWG input, a CPWG-SIW transmission with the wideband and low-loss characteristics from the quasi-TEM mode to quasi-TE10 mode and a rectangular slot with functions of vertical transition, transmission and power-dividing. High-gain radiation was achieved at the SIW slot antenna with good isolation between radiation field and the feeding network. As shown in the simulation results, the bandwidth of 1×4 antenna array achieved an E-plane beam-width of 24° and an H-plane beam-width of 10° at 120 GHz. The gain is more than 18.29 dBi and the VSWR is less than 2.0 with the size of 18.73 mm×5.83 mm×0.55 mm.

During the execution of precision measurement and control tasks by ground - based equipment, in order to accurately track the angular error demodulation signal, phase and slope correction of the tracking receiver are required, and the process of obtaining the correction value is called phase calibration. Ensuring the precise phase difference calibration of the sum and difference receiving channels is a key step to meet the self - tracking requirements of the target for the angle measurement subsystem. The traditional phase calibration method for multimode feed tracking systems faces challenges such as low efficiency, susceptibility to calibration equipment failures, and the impact of field setup environments, which not only limits the smooth progress of measurement and control tasks but may also have an adverse effect on the accuracy of target tracking. This paper aims to study and analyze existing calibration methods, deeply mine the existing calibration data, and introduce the method of multiple fitting analysis of mathematical statistics to predict the phase shift value, thereby effectively enhance emergency measurement and control capability of the measurement and control equipment in practice, ensuring the continuity and accuracy of task execution.

In recent years, China's aerospace technology has continued to develop. The distance of deep-space exploration has been continuously increasing, and the attenuation of signal energy has become more and more serious, which has gradually increased the requirements for the signal reception and demodulation capabilities of ground receiving equipment. Antenna array technology can achieve the gain of an equivalent large-aperture antenna by synthesizing the signals of multiple small-aperture antennas, which can give full play to the efficiency of each antenna resource and achieve the purpose of extending the measurement and control distance. It is one of the effective ways to solve the problem of receiving weak signals in deep space. The measurement and control range of the antenna array of the ground fixed base station is limited by factors such as terrain, region, and obstructions, and it cannot achieve full coverage of the existing measurement and control tasks. Therefore, a shipborne platform is needed to make up for the measurement and control blind area. Based on the real satellite signal, this paper conducts an antenna array signal synthesis experiment on a shipborne mobile platform. For platform states such as docking at the wharf, anchoring on the river surface, and hull swaying, full-spectrum synthesis and symbol stream synthesis demodulation processing are carried out. Especially for the hull swaying state, a signal synthesis scheme based on carrier-to-noise ratio estimation is proposed. This scheme constructs a model of ship sway frequency, amplitude, and signal strength based on the measured ship sway data, analyzes the signal synthesis efficiency under different ship sway states, designs a carrier-to-noise ratio estimation scheme according to the signal change law, and dynamically optimizes the signal weighting coefficient, so as to improve the signal synthesis effect. The paper also compares the influence of different signal-to-noise ratio estimations and weighting coefficient update periods on the synthesis efficiency, and the results are consistent with the theoretical analysis. By comparing the synthesis efficiencies of the traditional signal synthesis scheme and the synthesis scheme based on carrier-to-noise ratio estimation, the test results show that the traditional symbol stream synthesis result is less affected by ship sway, and the synthesis efficiency can reach more than 90%; the traditional full-spectrum synthesis result is greatly affected by ship sway, and the synthesis efficiency is less than 80%. By adopting the carrier-to-noise ratio estimation-assisted scheme proposed in this paper, the synthesis efficiency can be significantly improved to more than 89%, providing a technical basis for the subsequent antenna array synthesis scheme of the shipborne mobile platform.

To address challenges such as fast frequency changes and highly dynamic signal environments in frequency-hopping systems, this paper proposes an improved diagonally loaded SMI (Sample Matrix Inversion) algorithm suitable for FPGA (Field-Programmable Gate Array) implementation to enhance the system's anti-interference capability in complex environments. Compared with the traditional SMI algorithm, the improved diagonally loaded SMI algorithm is more effective in handling signal processing demands under low snapshot numbers and complex interference environments, with a lower computational complexity for the diagonal loading factor. This paper briefly introduces the basic principles of the improved diagonally loaded SMI algorithm and the calculation method of the diagonal loading factor, while providing a detailed explanation of its FPGA implementation and performance analysis. Firstly, low-complexity estimation of the diagonal loading factor is achieved using high-level synthesis (Vivado HLS）technology, enabling the optimal weight vector calculation and simplifying the design process. Subsequently, the IP core generated by HLS is packaged and integrated into the project to implement beamforming. Simulation results show that the diagonally loaded SMI algorithm can achieve an interference-to-signal ratio (SIR) improvement of over 70 dB on the FPGA platform, demonstrating significant interference suppression effects. Additionally, the algorithm completes anti-interference weight calculation, and beamforming update within 4734 clock cycles, ensuring fast performance and meeting the real-time processing requirements for frequency-hopping signals with over 10 000 hops per second.