Single frequency estimation with non-uniform sampling

被引:0
|
作者
Gansman, JA
Krogmeier, JV
Fitz, MP
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中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
A new frame structure is proposed for PSAM systems which includes a small number of known pilots at the start of each frame. This facilitates the estimation of large frequency offsets without aliasing. Cramer Rao lower bounds and the exact ML estimates are derived for AWGN and Rayleigh fading channels. Finally, simulations show that the ML estimator has much better performance than existing reduced complexity estimators when applied to this sparse observation model.
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页码:399 / 403
页数:5
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