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慢小”目标进行监视的低空探测雷达。该项目采用数字相控阵体制， 圆柱形阵面设计，宽发窄收的凝视探测模式。雷达可实现全方位 360 度空域覆盖，探测范围广，实现高数据率下同时多目标的探测与跟踪。 系统采用模块化、小型化设计，体积更小、重量更轻并且易于维护。 — 318 — （三）关键技术 (1) 宽发窄收、自适应数字化技术 结合雷达应用场景和市场需求，通过对系统方案优化设计，发射 喇叭发射宽波束，接收阵列使用自适应数字化体制。该体制发射单元 少、接收单元多，降低了系统发射功率、功耗，提高了雷达系统性能、 灵活性和生存能力。雷达工作时，发射宽波束，接收采用 DBF 技术 形成同时多波束，提高空域搜索能力，实现对目标的高数据率搜索和 跟踪。 (2) 系统广域覆盖与高数据率设计技术 雷达天线的波束角宽度是有限的，雷达仅仅拥有一个自由度难以 满足在执行任务中随时调整的需求。为解决雷达天线视角问题，本雷 达系统采用圆柱型阵列天线，实现了全向辐射，避免了转台对雷达系 统的制约和测量影响。圆阵发射天线由 8 个角锥喇叭组成，接收使用 48 列分布式阵列天线单元组成，共 8 个阵面，工作时可自由组合阵 面进行工作，使用开关控制，转换时延小，克服了转台体制的缺点。 (3) 自适应抗干扰与杂波抑制技术 针对雷达面临的复杂干扰环境和海杂波环境，采用副瓣对消、频 率捷变、杂波图检测等抗干扰技术，有效抑制干扰，改善探测环境， 提高目标探测性能；采用自适应感知的海杂波背景下目标检测方法， 有效抑制杂波，防止目标白化，最大限度的保留回波中的有效信息， 提高雷达在海杂波背景下目标探测效能。 技术成熟度： □概念验证 □原理样机 工程样机 □中试 □产业化 — 319 — 合作方式： □联合研发 □技术入股 转让 授权（许可） 面议 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证了无人机以最小的能耗完成飞行任务。","西安工业大学","2026-10-09T19:27:16.116Z",[514,515,516,519],{"code":401,"name":402},{"code":404,"name":405},{"code":517,"name":518},"CH-39","网络与数据安全",{"code":447,"name":448},[402,405,518,448],{"resultType":386,"id":522,"title":523,"abstract":524,"orgName":511,"province":468,"date":525,"trl":10,"transferMode":10,"keywords":393,"industry":10,"patentType":10,"legalStatus":10,"isOpenLicense":395,"isRevitalized":395,"techMaturity":10,"starRating":10,"licenseFeeText":10,"patentNo":10,"ipc":10,"inventors":10,"tags":526,"tagNames":542},"cmv1bi5uv01mcbdd8zvgss82m","适配资源约束平台的目标智能识别与跟踪技术研究","本项目针对重要的军事单位应对突发袭击时防御体系智能化、自主性较低的 问题，在恶劣气候、光照变化、目标遮挡等复杂战场环境下开展云端协同的目标 智能识别与追踪技术研究。以集成分布式云网络作为计算和信息交流平台，可高 效处理采集的感知信息；开展了云网络与智能终端协同技术，可保证智能终端的 作战效能；研究了基于人工智能的目标识别与跟踪技术，借由传感器信息对获取 图像进行不同方法的预处理，获取更为清晰的目标信息，以卷积神经网络为基础 构建了目标识别网络，实现了对人、小型无人机、坦克装甲车辆的高精度识别， 并构建了深度学习的目标动作识别网络，可对不同人的动作进行分类，为协同作 战提供有效、精细的信息，以孪生网络构建了目标跟踪网络，可实现对可疑目标 的准确跟踪。从而构建了无中心云网络和智能智能终端的分布式协同系统，提升 复杂场景下战场信息的自主智能感知能力，实现对装甲坦克车辆、人、低空小型 飞行器等战场目标的自主识别与跟踪，完成多智能终端作战策略的自主决策与协 同，提高陆军防御系统的信息化与智能化水平。申请发明专利 4项，软著授权3 项，发表高水平论文 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3D 打印技术的方法，用于构建用于室内加湿和降温的毛细管容器阵列结构，并制备了冷风机样机。与传统的纸基湿帘的冷风机相比，此设备具有低空气阻力、高加湿效率、噪音低等显著优点。在长时间（一周）运行中保持卓越的水质（\u003C1 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