论文标题
高精度混合RF和高功率IoT节点的超声波chiRP范围
High Precision Hybrid RF and Ultrasonic Chirp-based Ranging for Low-Power IoT Nodes
论文作者
论文摘要
混合原声-RF系统具有出色的精度，但它们通常具有太高的功耗，无法满足移动物联网节点的能量限制。我们将脉冲压缩和同步的唤醒结合在一起，以达到将节点的活动时间限制为1 ms的范围解决方案。因此，实现了9.015μW的超低功率消耗以进行单个测量。基于概念验证硬件平台的测量值显示中值距离误差值低于10 cm。模拟和测量都表明，在低信噪比和反射时，精度降低了。我们介绍了三种方法，以低额外的处理功率成本增强距离测量值。因此，我们在现实的环境中验证，可以在移动设备和物联网节点的能源预算中获得厘米精度。提出的混合信号范围系统可以扩展以执行准确的低功率室内定位。
Hybrid acoustic-RF systems offer excellent ranging accuracy, yet they typically come at a power consumption that is too high to meet the energy constraints of mobile IoT nodes. We combine pulse compression and synchronized wake-ups to achieve a ranging solution that limits the active time of the nodes to 1 ms. Hence, an ultra low-power consumption of 9.015 μW for a single measurement is achieved. Measurements based on a proof-of-concept hardware platform show median distance error values below 10 cm. Both simulations and measurements demonstrate that the accuracy is reduced at low signal-to-noise ratios and when reflections occur. We introduce three methods that enhance the distance measurements at a low extra processing power cost. Hence, we validate in realistic environments that the centimeter accuracy can be obtained within the energy budget of mobile devices and IoT nodes. The proposed hybrid signal ranging system can be extended to perform accurate, low-power indoor positioning.
