摘要
为提高成对载波多址(PCMA)模式下参数估计精度,简化实现流程,提出一种混合信号条件下频偏、相偏、信道联合估计算法。该算法基于最大似然准则,利用数据辅助技术,推导出联合参数估计显性表达式,并给出递归求解方法。对该算法估计性能进行的定量分析表明,估计性能逼近混合信号条件下克拉美罗界(Cramer-Rao bound),能适应频率选择性信道。计算机仿真结果验证了该算法的有效性。
In order to improve the accuracy and simplify the produces of parameters estimation in paired carrier multiple access （PCMA）, this paper proposes an algorithm of joint iterative estimation of carrier frequency, phase, and channel. Basing on maximum likelihood （ML） criterion, the joint estimator using data-aided technique is derived and the iterative resolution is given. The quantitative analysis of the joint estimator characteristics indicates that the accuracy the joint estimator almost achieves the Cramer-Rao bound （CRB）, and therefore the algorithm fits for frequency selective channels. Computer simulation results show the validity of the algorithm.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2015年第3期339-343,380,共6页
Journal of University of Electronic Science and Technology of China
基金
国家部级预研基金
关键词
同频干扰
克拉美罗界
联合估计
最大似然
co-channel interference
Cramer-Rao bound
joint estimation
maximum likelihood
