摘要
研究室内密集多径信道环境下的超宽带到达时间(TOA)估计技术.提出一种改进的门限比较TOA估计算法,利用非线性最小二乘算法同时估计多径延时和幅度,采用迭代算法提高参数估计精度,根据判决门限比较结果终止多径搜索过程并估计出TOA.分析该算法在室内多径信道模型中的性能,给出门限的设置方案.仿真结果表明,在不同的信噪比下设置合理的判决门限后,该算法具有较高的估计精度,能够满足精确定位需求.
Studies an ultra-wide band(UWB) time of arrival(TOA) estimation technique in dense indoor multipath environments. An improved TOA estimation algorithm based on threshold comparison is proposed. Nonlinear least squares algorithm is adopted to estimate the multipath delay and amplitude simultaneously, and iterative algorithm is used to further improve the accuracy of parameter estimation. Multipath searching process is terminated according to the result of decision threshold comparison, and then TOA estimation is deduced. The proposed algorithm is analyzed under indoor multipath channel model, and the threshold setting scheme is presented. Simulation results showed that the proposed algorithm has high estimation accuracy under various SNR when decision threshold is optimized. It can satisfy the requirement of precision positioning.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2008年第6期536-540,共5页
Transactions of Beijing Institute of Technology
基金
国家部委预研项目(22200605)
关键词
超宽带
到达时间
非线性最小二乘
迭代算法
ultra-wide band (UWB)
time of arrival (TOA)
nonlinear least squares (NLS)iterative algorithm