摘要
针对UWB(Ultra wideband)测距系统中传统非相干TOA估计算法精度的不足,基于UWB脉冲信号,采用一种基于能量采样序列的最大最小值比MMR进行归一化门限设置的TC算法,建立了以MMR为参量适合于办公室信道环境的最优归一化门限的计算模型。同时模型中还考虑了能量积分周期的影响,使得模型无须更动即可应用到较大范围的积分周期取值情况下,增强了模型的灵活性,与传统非相干TOA估计算法的性能对比表明MMR_TC算法可以获得更高精度。
Aim at the accuracy drawbacks of traditional TOA estimation algorithms of Ultra wideband systems, a TC （threshold-crossing） algorithm whose normalized threshold was set based on the MMR （maximum to minimum energy sample ratio） of the energy samples in the office environment was applied utilizing UWB pulses. The mathematical model of MMR based on optimal normalized threshold calculation was built, which suitabled for office environment. Moreover, effects of the length of energy integration interval were considered, which enabled the model being functional without modifications when different energy integration interval lengths were used. Simulation results show that the MMR_TC algorithm outperforms traditional algorithms.
出处
《微计算机信息》
2009年第24期211-213,245,共4页
Control & Automation
基金
国家自然科学基金重点项目
基金申请人:林基明
项目名称:UWB定位技术研究(60432040)
广西区应用基础专项
基金申请人:郑霖
项目名称:UWB检测研究
基金颁发部门:桂科基(0731025)
