Range Estimation in a Time Varying Multipath Channel

被引:0
作者
Donglin Wang
Michel Fattouche
机构
[1] University of Calgary,Department of Electrical and Computer Engineering
[2] New York Institute of Technology,Green Radio And Signal Processing (GRASP) Group, ECE Department
来源
Wireless Personal Communications | 2013年 / 71卷
关键词
Central angle range estimation; Time varying channel; Cramer-Rao lower bound (CRLB); Maximum likelihood estimator (MLE); Multipath Doppler; Pseudo-random noise (PN); Multicarrier (MC);
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中图分类号
学科分类号
摘要
In this paper, range estimation in a time varying multipath channel is investigated, on the basis of which a multicarrier (MC) signal is compared with its pseudo-random (PN) counterpart in terms of the Cramer-Rao lower bound (CRLB) and the maximum likelihood estimator (MLE). The CRLB for range estimation in a time varying multipath channel is derived for three cases: (1) known channel state information (CSI); (2) unknown CSI; and (3) a special case of unknown CSI where the channel is modeled via Doppler shift. Furthermore, the MLE is developed for range estimation for each one of the above three cases and is investigated for a multipath Doppler channel with respect to the separability of its multipath components. Besides, the condition for a multipath Doppler channel to be separable is explored for a PN signal as well as for a MC signal. Simulation results show that range estimation with a MC signal outperforms its PN counterpart in a time varying channel, similar as that in a time invariant channel.
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页码:887 / 908
页数:21
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