基于相位的测距信道建模
Channel Modeling for Phase-Based Ranging
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中文总结 AI 辅助
本文提出基于Python的蓝牙信道探测物理层仿真框架，实现特定频段相位测距与多类信道、硬件干扰建模，为相关算法研究提供基础。
中文摘要 AI 辅助
本文提出了一个基于Python的仿真框架，用于符合蓝牙核心规范v6.2的蓝牙信道探测物理层。该仿真器实现了2.4 GHz ISM频段内72个激活音调上的模式3基于相位的测距，支持多种传播条件，包括自由空间、静态多径以及IEEE 802.15.4a随机多径信道。此外，该框架还对相关硬件和干扰效应进行建模，如相位噪声、相位斜坡、载波频率偏移、IQ失衡、ADC量化以及来自共存Wi-Fi系统的窄带干扰，其参数源自商用SoC datasheet和现场测量数据。该框架可对空中实验中难以分离且现有高级仿真工具未充分体现的物理层效应进行可控且可重复的分析。本工作仅聚焦于物理层信号生成、信道建模和损伤注入，为后续蓝牙信道探测测距与定位算法的研究奠定基础。
英文摘要
This paper presents a Python-based simulation framework for the physical layer of Bluetooth Channel Sounding in accordance with Bluetooth Core Specification v6.2. The simulator implements Mode 3 phase-based ranging across 72 active tones in the 2.4 GHz ISM band and supports multiple propagation conditions, including free-space, static multipath, and IEEE 802.15.4a stochastic multipath channels. In addition, it models relevant hardware and interference effects such as phase noise, phase ramp, carrier frequency offset, IQ imbalance, ADC quantization, and narrowband interference from co-located Wi-Fi systems, with parameters derived from commercial SoC datasheets and field measurements. The framework enables controlled and repeatable analysis of physical layer effects that are difficult to isolate in over-the-air experiments and are not sufficiently represented in existing higher-level simulation tools. This work focuses exclusively on physical layer signal generation, channel modeling, and impairment injection, providing a foundation for future studies on Bluetooth Channel Sounding ranging and localization algorithms.
