The task volume of TT&C equipment executing satellite management tasks is increasing day by day. The daily shutdown maintenance, performance index testing and increasing workload of equipment have become contradictory. Equipment maintenance and performance index testing demand efficient automated testing methods. This article researches the integrated operation management system based on lightweight cloud, analyzes the software and hardware composition of the automated testing system, deploys automated testing software on the integrated operation management system, and improves the reliability of software operation. It has also proposed an automated testing strategy for high-density task states, optimized the automated testing process, and implemented the function of rapid and automated testing of TT&C performance indices. By testing the effective isotropic radiated power—EIRP value of the system, and applying the automated testing system in practice, the testing efficiency has been significantly improved.

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.

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.

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.

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°.

The development of wireless communication technology has imposed strict requirements on antennas, including high-frequency operation, miniaturization, and strong directivity, to support higher data transmission rates in the future. Due to inherent amplitude and phase differences among channels in millimeter-wave chips and multi-antenna arrays, as well as additional amplitude and phase differences caused by factors such as temperature characteristics and aging during operation, beamforming accuracy can be significantly degraded. To mitigate the impact of inter-channel amplitude and phase differences on beam control, this paper proposes a near-field calibration algorithm based on plane wave spectrum expansion. The algorithm constructs a signal model between the antenna under test (AUT) and the probe using plane wave spectrum theory. Based on this model, a virtual signal for calibration measurement is generated and compared with the measured signal. A genetic algorithm is used to optimize the difference between the virtual and measured signals, and the initial excitations of the millimeter-wave array antenna are determined when the difference reaches its minimum. To validate the effectiveness of the proposed calibration algorithm, a four-element millimeter-wave linear array was calibrated. The probe scanning range was approximately one-third of the array aperture. The obtained amplitude calibration error range was ±0.43 dB, and the phase calibration error range was ±4.6°, achieving high-precision calibration.

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.

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.

Tightly coupled phased array antenna is a crucial form of ultra-wideband phased array antenna, which mainly consists of radiating elements, coupling capacitors between adjacent radiating elements, a wide-angle impedance matching layer on the array surface, and a reflective ground beneath the array. Its working principle is to decrease the resonant frequency of dipoles and counteract the inductive effect of the ground via the coupling capacitance between units, thereby attaining a low-profile and ultra-wideband impedance matching. Employ an equivalent circuit in conjunction with a Smith chart to elucidate the impedance frequency characteristics and physical significance of the various components within a tightly coupled phased array antenna. The functions and roles of different components of the antenna are deeply analyzed, and the key issues are summarized to provide theoretical guidance for the design of tightly coupled phased array antenna. Domestic and foreign design cases are summarized to provide experience for the theoretical design and engineering practice of this type of antenna.

Substrate Integrated Waveguide (SIW) has been widely used in the design of microwave circuits and systems due to its low insertion loss and high-quality factor. However, compared to traditional microstrip lines, SIW has larger transverse dimensions, which limits its application in miniaturized and compact microwave circuits and systems. This paper proposes a SIW-SSPP hybrid circuit by integrating a three-dimensional SSPP structure composed of metallized blind vias and metal patches. Theoretical analysis of dispersion characteristics and full-wave electromagnetic simulations demonstrate that this SIW-SSPP integrated hybrid circuit can achieve a 30% reduction in transverse length and a 50% reduction in longitudinal length of the transmission line. Furthermore, by etching an orthogonal radiation structure on top of the SIW-SSPP hybrid circuit, a compact ultra-wideband circularly polarized leaky-wave antenna was designed. The results indicate that the antenna exhibits a return loss below -10 dB and an S₂₁ below -6 dB within the operating frequency band of 11.2 to 17 GHz. It achieves an axial ratio of less than 3 dB between 11.2 and 16.2 GHz. The antenna's gain ranges from 10 to 15 dBic. It also features continuous scanning performance from backward space (-27°) to forward space (+30°). This design method provides a new approach for the development and design of high-performance, compact microwave, millimeter-wave, and terahertz systems.