Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Detection, Estimation, and Modulation Theory: Radar-Sonar Signal Processing and Gaussian Signals in Noise
Cramér-Rao bound for range estimation
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Fundamental limits on time delay estimation in dispersed spectrum cognitive radio systems
IEEE Transactions on Wireless Communications
Ground-Based Wireless Positioning
Ground-Based Wireless Positioning
Deconvolution in the presence of Doppler with application tospecular multipath parameter estimation
IEEE Transactions on Signal Processing
Joint decision-directed feedback multiuser channel gain and delay estimation for DS-CDMA uplink
IEEE Transactions on Signal Processing
Optimum discrete wavelet scaling and its application to delay andDoppler estimation
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Threshold region performance of maximum likelihood direction of arrival estimators
IEEE Transactions on Signal Processing
Target Doppler estimation using wideband frequency modulatedsignals
IEEE Transactions on Signal Processing
Analysis of wireless geolocation in a non-line-of-sight environment
IEEE Transactions on Wireless Communications
On the Cramer- Rao bound for time delay and Doppler estimation (Corresp.)
IEEE Transactions on Information Theory
Position location using wireless communications on highways of the future
IEEE Communications Magazine
Characterization of ultra-wide bandwidth wireless indoor channels: a communication-theoretic view
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
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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.