交通无线磁阻传感器网络多源干扰问题研究

Wireless Magnetic Sensor Networks (WMSN) is gradually used in the field of intelligent transportation system. It is one of the important technologies of low cost and low power traffic information acquisition. However, WMSN has the multi-source interference problem. Currently, there is lack of knowledge of magnetic interference. In the case of interference, the detection accuracy of the existing algorithms is significantly reduced. Previous research of the project has shown that it is a feasible way to explore the characteristics of magnetic interference and to put forward a new anti-interference detection mechanism under the existing hardware conditions. Therefore, the project will carry out research on the key problem of multi-source interference. The first is to explore the temporal and spatial characteristics of multi-source magnetic interference in terms of magnetic field modeling and time series analysis. Secondly, we’ll research on the energy efficient signal-to-noise separation method based on mathematical morphology theory. Finally, based on above research, the adaptive anti-interference traffic detection algorithms will be implemented. We will establish both dynamic and static traffic detection systems under the interference environment to verify project's research results. Research in this project will significantly improve the accuracy of traffic detection under the interference environment. Large and medium-sized cities in China have urgent construction needs for low-cost real-time traffic information collection, intelligent parking management and parking sharing technologies. So the project has important scientific significance and broad application prospect.

无线磁阻传感器网络逐渐被用于智能交通领域，是低成本、低功耗交通信息采集的重要技术之一。该技术面临多源干扰问题，现阶段对磁干扰认知不足，在干扰环境下，已有算法的检测精度急剧下降，不具可用性。项目申请人前期研究已表明在现有的硬件条件下，发掘磁干扰的特性，提出新的抗干扰检测机制是可行的途径。所以本课题将针对多源干扰这一关键问题开展研究工作：首先是从磁场建模和时间序列分析两个方面探索多源磁干扰在时间和空间上的特征规律；其次引入数学形态学理论，研究低功耗的信噪分离方法；然后在此基础上实现自适应抗干扰的动态及静态交通检测算法；并建立干扰环境下的动态及静态交通检测系统以验证上述理论研究的有效性。本课题将显著提高交通磁阻传感器网络在干扰环境下的检测精度，国内大中城市对低成本实时交通信息采集、智能停车管理、车位共享有迫切的建设需求，本课题具有重要的科学意义和广阔的应用前景。

随着机动车保有量的高速增长，交通拥堵问题日益严重，各大中城市对实时交通诱导及路边停车管理有迫切的建设需求。基于无线磁阻传感器网络，可构建大规模、低成本、低功耗的城市道路动态及静态交通全覆盖的检测系统。基于磁阻传感器的静态和动态交通检测算法已经取得了一些研究成果，但是已有算法大部分都没有考虑磁干扰问题。本项目研究车辆磁场信号仿真及特征分析，采用形态学滤波方法对噪声去除，实现了抗干扰的动态及静态交通检测算法；针对地磁传感器面临的干扰问题，设计了以磁阻传感器为主，辅助雷达传感器的检测方法；建立道路交通检测系统验证了理论研究的有效性。项目研究结果显著地提高无线磁阻传感器网络的检测精度，具有广阔的应用前景。