摘要
近年来,无线室内定位技术越来越受到人们的关注。其中,脉冲超宽带(IR-UWB)技术由于发射功率低、抗多径干扰能力强、穿透力强等特点,非常适合应用于室内定位。传统能量检测算法在存在窄带干扰时性能恶化十分严重,通过对接收信号的特性进行分析,提出了一种新的TOA估计算法。设定不同的阈值对接收信号的每一帧进行查询,通过对检测结果集统计分析后得到信号的到达时间。仿真结果表明,存在窄带干扰时,该TOA估计算法比其他基于能量检测的TOA估计算法具有更高的估计精度。
This paper proposes a new TOA estimation algorithm by analyzing the characteristics of the received signal.Set different thresholds to search each frame of the received signal and the time-of-arrival (TOA) is obtained by statistical analysis of detection result sets.The simulation results show that the proposed TOA estimation algorithm has higher estimation accuracy than other methods based on energy detection with the presence of narrowband interference.
出处
《工业控制计算机》
2019年第7期62-64,共3页
Industrial Control Computer
关键词
脉冲超宽带
到达时间估计
窄带干扰
impulse radio ultra-wideband
time of arrival estimation
narrowband interference