摘要
在超短波通信环境中,散射物大多非均匀分布,集中趋向于某个区域,信号在传播过程中经过多次反射、散射,到达接收端的多条路径在时间和空间上会形成簇。对同一簇内多径信号的空间传播特征,可以用来波方向波达角的中心波达角(均值)和角度扩展(或者方差)两个统计参数描述。针对实际信道环境中存在多簇散射波,提出了使用广义旁瓣对消框架下的多级维纳滤波和粒子群搜索算法,来进行这两个统计参数的估计。仿真实验表明该算法可较精确地实现这两个统计参数的估计,并且该算法具有较强的鲁棒性。
In ultra-short-wave communication, scattering objects tend to focus on a certain direction because of they are mostly uneven distributed, which makes the signals get into temporal and spatial clusters at the receiver after reflections and scatterings. Spatial propagation characteristics in the same cluster can be described by the mean and variance of the signal incidence angle. Considering the cluster signals exist in the actual channel, multi-stage wiener filter under the generalized side-lobe cancellation framework and particle swarm search algorithm was proposed to estimate the two statistic parameters. The simulations prove that the algorithm can precisely estimate the two statistic parameters and the algorithm is robust in the mean time.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2012年第7期1460-1464,共5页
Journal of System Simulation
关键词
超短波通信
多簇散射
多级维纳滤波
粒子群搜索
ultra-short-wave communication
multiple clusters scattering
multi-stage wiener filter
particle swarm search
