CAJ | 학술논문

依据数据辅助类算法传输效率较低，盲估计算法精度较差的特性，通过重构理想状态下的时域接收信号，提出一种基于信号重构的CFO估计算法。该算法既具备盲估计算法计算简单的特点，又能实现数据辅助类算法的精确性。由于对辅助数据不作要求，在精度要求不高的情况下，可以直接进行盲估计。而如果需要提升性能，则可以通过增加训练符号的方式来实现。最后，通过Matlab仿真验证了本算法的性能，结果表明，本算法的抗干扰性能较好，且随着采样数的增加，算法的估计精度也相应地得到了提升。
의거수거보조류산법전수효솔교저，맹고계산법정도교차적특성，통과중구이상상태하적시역접수신호，제출일충기우신호중구적CFO고계산법。해산법기구비맹고계산법계산간단적특점，우능실현수거보조류산법적정학성。유우대보조수거불작요구，재정도요구불고적정황하，가이직접진행맹고계。이여과수요제승성능，칙가이통과증가훈련부호적방식래실현。최후，통과Matlab방진험증료본산법적성능，결과표명，본산법적항간우성능교호，차수착채양수적증가，산법적고계정도야상응지득도료제승。
Analyzing the characteristics of low data transportation efficiency of data-aided algorithm,and relatively worse performance of blind estimation,it proposed a new CFO estimation algorithm based on signal reconstruction. This algorithm can both realize the performance of data-aided algorithm and simplify the computational complexity at the same time. Not requiring the training sequences,this algorithm can be used in differently circumstances. To improve its precision,CP or pilot can be inserted. When persuing low complexity,the data symbols can be directly used to estimate the CFO. Final y,matlab is used to build a simulation platform to test the performance of this algorithm. Results show that this algorithm has robust performance to resist outside interference,and when sampling accounts arise,its performance was accordingly improved.