Interrupted-sampling repeater jamming (ISRJ) is a kind of intra-pulse coherent deception jamming that can generate false target peaks in the range profile and interfere with the detection and tracking of real targets. In this paper, an anti-ISRJ method based on the intra-pulse orthogonal waveform is proposed, which can recognize common interference signals by comparing sub-signal matched filtering results. For some special scenes where real targets cannot be directly differentiated from false targets, a new recognition method based on the energy discontinuity of the interference signal in the time domain is proposed in this paper. The method proposed in this paper can recognize real and false targets in all ISRJ modes without any prior information, such as jammer parameters, with a small amount of calculation, which is suitable for actual radar systems. Simulation experiments using different interference parameters show that although this method has a 3 dB loss of pulse compression gain, it can completely suppress different kinds of ISRJ interference when the SNR before pulse compression is higher than −20 dB, with 100% target detection probability.

In this paper, we propose a resource and timing optimized PCIe DMA architecture using FPGA internal data buffer memory. Firstly, an optimized PCIe DMA control process is proposed, focusing on reducing the capacity of required data buffer memory in PCIe DMA, which is realized by fastening DMA completion response, optimizing DMA register configuration, and avoiding conflicts between multiple threads. Required data buffer memory capacity is reduced by 97.6% from 24.10MB to 0.56MB, making FPGA internal memory resource enough for DMA transmission. Secondly, timing failure problems in FPGA caused by large internal memory utilization as PCIe DMA data buffer are solved, realized by a timing-optimized FIFO structure and a low-delay FIFO control mechanism. FPGA memory resource utilization rate without timing failure is increased from 12.4% to 100%, ensuring the reliability of PCIe DMA data transmission. This paper expands the application of PCIe data transmission, reducing the cost and complexity of relevant circuit design.

Interrupted-sampling repeater jamming (ISRJ) is a kind of intra-pulse coherent decep-tion jamming that can generate false target peaks in the range profile and interfere with the de-tection and tracking of real targets. In this paper, an anti-ISRJ method based on the intra-pulse orthogonal waveform is proposed, which can recognize common interference signals by com-paring sub-signal matched filtering results. For some special scenes where real targets cannot be directly differentiated from false targets, a new recognition method based on the energy discon-tinuity of the interference signal in the time domain is proposed in this paper. The method pro-posed in this paper can recognize real and false targets in all ISRJ modes without any prior in-formation, such as jammer parameters, with a small amount of calculation, which is suitable for actual radar systems. Simulation experiments using different interference parameters show that although this method has a 3dB loss of pulse compression gain, it can completely suppress dif-ferent kinds of ISRJ interference when the SNR before pulse compression is higher than -20dB, with 100 % target detection probability.

Vision transformers (ViTs) excel at global context modeling with self-attention. However, standard self-attention leads to quadratic computational complexity, which restricts its practical use in high-resolution or latency-sensitive tasks. Existing methods achieve linear complexity via local window constraints or additive approximations. However, they often compromise long-range dependency modeling. To address this issue, we propose the channel-guided additive attention vision transformer (CGA-ViT), which achieves synergistic optimization of multi-scale feature extraction and efficient global context modeling. First, we propose multi-scale dilated feature embedding (MDFE). By designing multi-scale sampling and spatial feature embedding, we can expand the receptive field and capture fine-grained features simply by adjusting the dilation rate in the early stages; second, we design channel-guided additive attention (CGA), dynamically modulating key vectors using query-derived descriptors, enabling long-range semantic interactions while maintaining linear complexity growth. We adopt a hierarchical structure, and in the shallow layers, we use CGA to carry out local-global interactions and use efficient additive attention in deep layers for global integration. Evaluations on ImageNet-1K show that CGA-ViT achieves 84.0% Top-1 accuracy with 4.7 GFLOPs, outperforming Swin-T (81.3%) and ConvNeXt-T (82.1%) by 2.7 and 1.9 percentage points under comparable computational costs. Ablation experiments verify MDFE and CGA, which together contribute to 65.0% of performance gains, with the rest from token-level supervision. Overall, CGA-ViT effectively balances the intrinsic tradeoff between efficiency and global modeling capability, significantly boosts visual recognition performance without extra computational overhead, and provides an efficient solution for lightweight ViT design.

With the development of big data technology, the theoretical methods of knowledge construction on defense technology information field urgently needs to be optimized and improved. This paper analyzes in detail the situations and issues confronting knowledge construction about defense science and technology information, which based on the basic characteristics of the big data environment and the main challenges of Defense Science and Technology Information (DS&TI) research. It systematically sorts out the capability requirements and data categories of DS&TI research in the era of big data. The paper designs the overall framework for knowledge construction on DS&TI, which includes “data foundation layer - generation method layer - knowledge classification layer - capability requirement layer” and proposes strategies and relevant suggestions about knowledge construction on DS&TI field. This article’s research provides macro guidance and reference for knowledge construction on DS&TI and provides support for DS&TI research.