ISACGateway Edge 6G ISAC Gateways & Point Cloud Interfaces
ISACGateway formalizes edge computing gateways bridging 3GPP Rel-19 6G base stations with autonomous robotics, real-time ROS 2 PointCloud2 export, and multi-tenant data sovereignty.
ISACGateway Edge Processing & Point Cloud API Stack
ISAC Core: Gateway Core — 3GPP Rel-19 & ROS 2 Point Clouds
6G ISAC Nodes & Beamforming Subsystems
- 3GPP Rel-19 Sensing Function
- ROS 2 PointCloud2 Exporter
- VDA 5050 Spatial Bridge
- Edge AI Object Classifier
- Multi-Tenant Security Proxy
Architectural Layers & Waveform Pipelines
- 第一层:通感一体化双功能波形与数字基带 (OTFS / OFDM-Radar / Fractional Fourier Transform / Ambiguity Function): 基于正交时频空(OTFS)调制与分数阶傅里叶变换的波形生成,在高速多普勒频移环境下实现零子载波间干扰(ICI)。
- 第二层:大规模 MIMO 有源相控阵与混合波束赋形 (140 GHz D-Band / True-Time-Delay (TTD) / Hybrid Analog-Digital Beamforming): 太赫兹 D 频段有源相控阵体系,结合真实时间延迟(TTD)消除波束色散,支持超窄高增益雷达跟踪波束与宽角通信波束并行覆盖。
- 第三层:回波数字信号处理、2D-FFT 谱估计与 4D 点云成像 (2D-FFT Range-Doppler / MUSIC AoA / CFAR Detection / Micro-Doppler Extraction): 亚分米级测距与测速分辨率、恒虚警率(CFAR)目标检测、基于微多普勒特征的步态生物识别与无人机旋翼特征实时分类。
- 第四层:蜂窝网络通感资源编排与 3GPP Rel-19 核心网 (3GPP Rel-19 ISAC Core / Sensing Function (SF) / Reconfigurable Intelligent Surfaces (RIS)): 无蜂窝协作雷达感知网络、智能超表面(RIS)反射信道赋能,动态平衡通信吞吐量 SLA 与雷达感知刷新率需求。
Sensing Telemetry & Benchmarks: <5 cm (测距分辨率) | 0.1 m/s (测速精度) | <10 ms (雷达帧刷新时延) | 3GPP Rel-19 (全球行业标准)
3GPP Rel-19 Standards & Point Cloud APIs in ISACGateway
Raw cellular radar data must be transformed into standardized, consumable APIs for autonomous vehicles, industrial robotics, and municipal traffic systems. ISACGateway defines the edge server middleware converting 6G radar echoes into real-time ROS 2 point clouds and open analytics feeds.
Core Engineering Areas
Technical Publications