摘要
针对典型高精度的波达时间-波达方向(Time of arrival-direction of arrival,TOA-DOA)联合估计算法-多重信号分类算法运算量巨大的问题,提出了有效降低其复杂度的新方法并将其应用于无线定位。该方法首先通过分离接收信号矢量来分别估计TOA和DOA,以降低信号自相关矩阵的维数,从而降低对其进行特征值分解运算的复杂度,再利用离散傅立叶变换简化空间谱运算,同时采用多个空间谱相加的方法提高估计精度,从而利用一个基站就可以准确快速定位目标。运算量分析证明了新方法的复杂度较低,更易于在实时硬件系统上实现;Matlab仿真实验证明,新方法的估计精度与JADE-MUSIC相当,具有良好的定位性能。
A novel wireless positioning method is proposed based on joint Time of arrival-direction of arrival（TOA-DOA）estimation to substantially reduce the computational burden of typical high accuracy algorithm——Joint angle and delay estimation multiple siginal classification（JADE-MUSIC）.This method first separates the processed signal vector to estimate TOA and DOA to reduce the size of the signal covariance matrix.Thus the eigenvalue decomposition complexity is reduced.It applies DFT to simplify the pseudo-spectrum computation and utilizes pseudo-spectrum summation to enhance estimation accuracy.Target positioning can be realized fast and accurately via only one base station.Theoretical analysis shows that this method is of much lower complexity,Matlab simulation results prove that this method achieves high estimation accuracy and good positioning capability.
出处
《数据采集与处理》
CSCD
北大核心
2014年第6期1036-1040,共5页
Journal of Data Acquisition and Processing
基金
广西高校科学技术研究(2013LX118)资助项目
广西高校科学技术研究重点(2013ZD055)资助项目
关键词
无线定位
波达时间
波达方向
wireless positioning
time of arrival
direction of arrival
