摘要
针对二维多重信号分类算法可以估计出系统的到达时间(TOA,time-of-arrival)和波达方向(DOA,directionof-arrival)参数,但需要复杂度非常高的二维谱峰搜索这一问题,提出了IR-UWB系统中基于求根MUSIC(root-MUSIC)的TOA和DOA联合估计算法,该算法对接收信号的频域形式建模,先估计出TOA,然后由TOA的差值计算出DOA,从而实现TOA和DOA的联合估计。该算法不需谱峰搜索,可直接给出估计参数的闭式解,还可实现参数配对。还推导了参数估计的误差方差。仿真结果表明,该算法的参数估计性能明显优于矩阵束算法、传播算子算法以及基于旋转不变技术估计信号参数算法,并且非常接近于2D-MUSIC算法,但该算法的复杂度却远远低于2D-MUSIC算法。
The parameters can be estimated via two-dimensional （2D） multiple signal classification （MUSIC） algorithm, in which the two-dimensional spectral peak searching, however, requires much higher computational complexity. Aiming at this, an algorithm of root-MUSIC-based joint TOA and DOA estimation in IR-UWB system was proposed. After mod- eling the received signals in the frequency-domain, the algorithm estimated the TOA parameters first, and then the DOA parameters via the difference of the TOA was obtained, thereby the joint TOA and DOA estimation was gained. This al- gorithm does not need spectral peak searching and can obtain the closed-forrn solutions of the TOAs and DOAs. More- over, it can get the parameters paired. In addition, the error variances of the estimated parameters were derived. The simulation results show that the proposed algorithm has much better performance than matrix pencil algorithm, propaga- tor method and estimation of signal parameters via rotational invariance techniques （ESPRIT） algorithm, and has almost the same performance as 2D-MUSIC algorithm, while the complexity of the proposed algorithm has far lower than that of 2D-MUSIC al~,orithm.
出处
《通信学报》
EI
CSCD
北大核心
2014年第2期137-145,共9页
Journal on Communications
基金
国家自然科学基金资助项目(61371169)
江苏省博士后科研计划基金资助项目(1201039C)
中国博士后基金资助项目(2012M521099)
厦门大学水声通信与海洋信息技术教育部重点实验室开放课题基金资助项目
智能无线通信湖北省重点实验室开放课题基金资助项目(IWC2012002)
无损检测技术教育部重点实验室(南昌航空大学)基金资助项目
江苏高校优势学科建设工程基金资助项目
中央高校基本科研业务费专项基金资助项目(NZ2012010)
南京航空航天大学研究生创新基地(实验室)开放基金资助项目(kfjj120115)~~
关键词
到达时间
波达方向
脉冲超宽带
多重信号分类
time-of-arrival
direction-of-arrival
impulse radio ultra wideband
multiple signal classification
