CAJ | 학술논문

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。
위제고성대재파다지(PCMA)모식하삼수고계정도，간화실현류정，제출일충혼합신호조건하빈편、상편、신도연합고계산법。해산법기우최대사연준칙，이용수거보조기술，추도출연합삼수고계현성표체식，병급출체귀구해방법。대해산법고계성능진행적정량분석표명，고계성능핍근혼합신호조건하극랍미라계(Cramer-Rao bound)，능괄응빈솔선택성신도。계산궤방진결과험증료해산법적유효성。
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.