摘要
高斯色噪声背景下,针对多径环境下的多用户波达方向(direction of arrival,DOA)估计问题,提出一种联合处理算法。新算法首先利用四阶累积量估计出各个用户的空间特征,然后利用基于时间平滑的多重信号分类(multiple signal classification,MUSIC)算法实现各用户多径信号的DOA估计。该算法突破了传统空间平滑类算法的局限,对于M元均匀线阵,新算法最多可估计M×(M-1)个DOA,且各DOA与各用户可自动实现配对。计算机仿真结果验证了算法的有效性。
A combined algorithm is proposed to estimate the direction of arrivals（DOAs） of multi-path signals for multi-users in colored Gaussian noise channels.In this algorithm,the spatial signature of each user is firstly estimated by the fourth-order cumulant.Then the multiple signal classification（MUSIC） algorithm based on temporal smoothing is adopted to estimate the DOAs of the multi-path signals of each user.It can break through the limit of the traditional spatial smoothing liked algorithms.For a uniform linear array with M elements,the new algorithm can estimate M×（M-1） DOAs and each DOA can automatically match with its user.The result of computer simulations confirms the effectiveness of the combined algorithm.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2012年第4期789-794,共6页
Systems Engineering and Electronics
基金
国家高技术研究发展计划(863计划)重点项目(2009AA011302)
重庆市自然科学基金(2010BB2417)
重庆市教委科研项目(KJ090513
KJ110526)资助课题
关键词
阵列信号处理
波达方向估计
高阶累积量
时间平滑
array signal processing
direction of arrival（DOA） estimation
high order cumulant
temporal smoothing
