Title :
Minimum Variance Channel Estimation in MC-CDMA Systems: Bias Analysis and Cramér–Rao Bound
Author :
Nazar, Shahrokh Nayeb ; Psaromiligkos, Ioannis N.
Author_Institution :
Dept. offilectrical & Comput. Eng., McGill Univ., Montreal, Que.
fDate :
6/1/2007 12:00:00 AM
Abstract :
We present a comprehensive performance analysis of the minimum variance channel estimator for multicarrier code-division multiple access systems. We provide novel highly accurate closed form expressions for the bias due to the additive noise as well as the finite data record mean-square error of the channel estimates. In addition, we derive the corresponding Crameacuter-Rao bound that assumes the knowledge of only the spreading code of the desired user
Keywords :
channel estimation; code division multiple access; mean square error methods; noise; Cramer-Rao bound; MC-CDMA; additive noise; bias analysis; finite data record mean-square error; minimum variance channel estimation; multicarrier code division multiple access systems; spreading code; Additive noise; Analysis of variance; Blind equalizers; Channel estimation; Closed-form solution; Downlink; Multiaccess communication; Multicarrier code division multiple access; Performance analysis; Statistics; Bias; Cramér–Rao bound (CRB); mean-square error (MSE); minimum variance (MV) channel estimation; multicarrier code division multiple access (MC-CDMA);
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2007.893975
