基于时域粗检测的建筑空间OFDM信号定位仿真

Simulation of Building Space OFDM Signal Location Based on Time Domain Rough Detection

针对传统OFDM信号定位方法在建筑空间内定位时存在定位精度低、抗噪效果差、效率低等问题,提出基于时域粗检测的建筑空间OFDM信号定位方法。对电磁波抵达多径输送信道进行傅里叶变换,获得OFDM信号频域定位模型。对发射信号使用时域粗检测计算,实现快速接收OFDM信号的最大峰值。按照数量不同的接收定位基点个数,运用多基点重心定位运算流程进行定位。同时利用气压测高手段,结合传感器测量定位点温度与气压等环境信息,建立气压与高度关联模型,实现准确定位建筑空间各个维度的OFDM信号。仿真结果证明,上述方法可以大幅提升OFDM信号定位精准度,且抗噪性强、定位时间短,操作简便且实用性高。

Due to low positioning accuracy, poor anti-noise effect and low efficiency in traditional OFDM signal positioning methods, this article puts forward a method of positioning the building space OFDM signal based on time-domain rough detection. Fourier transform was adopted for multipath channel of electromagnetic wave arrival, so as to obtain the frequency-domain positioning model of OFDM signal. The time domain rough detection was used to calculate the transmitting signal, so that maximum peak value of OFDM signal was received quickly. According to the number of different receiving and positioning base points, the gravity positioning flow with multiple base points was adopted for positioning. Moreover, the air pressure altimeter and sensor were used to measure the temperature and air pressure and other environmental information of the location point. Finally, the air pressure and height correlation model was built, and thus to accurately locate the OFDM signals of each dimension in building space. Simulation results show that the proposed method can greatly improve the positioning accuracy of OFDM signal, with strong noise resistance, short positioning time, simple operation and high practicability.