Results 31 to 40 of about 24,612 (214)

Blind SNR estimation based on cyclostationarity

open access: yesTongxin xuebao, 2006
Upsampling and shaping filtering introduce the cyclostationarity of transmit signals. Based on the cyclosta-tionary statistics of signals, a blind SNR estimator in AWGN channel was proposed.
HUA Meng, ZHU Jin-kang, GONG Ming
doaj   +2 more sources

Frequency estimator by combination of phase difference method and interpolation algorithm

open access: yesJournal of Algorithms & Computational Technology, 2019
In the traditional time-shifting based phase difference method, considerable errors may be introduced by wrapped phase problem as long as translation coefficient tends to one even in a small-scale turbulence noise.
Haitao Xu   +4 more
doaj   +1 more source

On stability of generalized phase retrieval and generalized affine phase retrieval

open access: yesJournal of Inequalities and Applications, 2019
In this paper, we consider the stability of intensity measurement mappings corresponding to generalized phase retrieval and generalized affine phase retrieval in the real case. First, we show the bi-Lipschitz property on measurements of noiseless signals.
Zhitao Zhuang
doaj   +1 more source

Analyzing of Cooperative Locating Error and Formation Configuration of AUV Based on Geometric Interpretation

open access: yesXibei Gongye Daxue Xuebao, 2020
Because the evaluation of the location performance of AUVs with the lower bound of the Cramer-Rao inequality is not intuitive, the geometric interpretation method is proposed based on geometric ellipse.

doaj   +1 more source

Carrier Frequency Offset Estimation Approach for Multicarrier Transmission on Hexagonal Time-Frequency Lattice

open access: yes, 2013
In this paper, a novel carrier frequency offset estimation approach, including preamble structure, carrier frequency offset estimation algorithm, is proposed for hexagonal multi-carrier transmission (HMCT) system.
Ma, Wenfeng   +5 more
core   +1 more source

Valid lower bound for all estimators in quantum parameter estimation

open access: yesNew Journal of Physics, 2016
The widely used quantum Cramér–Rao bound (QCRB) sets a lower bound for the mean square error of unbiased estimators in quantum parameter estimation, however, in general QCRB is only tight in the asymptotical limit.
Jing Liu, Haidong Yuan
doaj   +1 more source

GNSS-R altimeter performance: Analysis of Cramer-Rao lower bounds

open access: yes2012 Workshop on Reflectometry Using GNSS and Other Signals of Opportunity (GNSS+R), 2012
Earth-reflected Global Navigation Satellite Systemsignals have become an attractive tool for remote sensing, being proposed as a means to perform ocean altimetry, among many other applications. The technique exploiting navigation signals is widely known as GNSS-R.
D'Addio, Salvatore   +4 more
openaire   +2 more sources

Performance analysis of the Least-Squares estimator in Astrometry

open access: yes, 2015
We characterize the performance of the widely-used least-squares estimator in astrometry in terms of a comparison with the Cramer-Rao lower variance bound.
Lobos, Rodrigo A.   +3 more
core   +2 more sources

Monte Carlo algorithm for the evaluation of the distance estimation variance in RSS-based visible light positioning [PDF]

open access: yes, 2017
In this work, the Monte Carlo algorithm to determine the variance on the distance estimation in Received Signal Strength-based visible light positioning is considered.
De Strycker, Lieven   +2 more
core   +1 more source

Constrained total least squares localization using angle of arrival and time difference of arrival measurements in the presence of synchronization clock bias and sensor position errors

open access: yesInternational Journal of Distributed Sensor Networks, 2019
Based on measurements of angle of arrival and time difference of arrival, a method is proposed to improve the accuracy of localization with imperfect sensors. A derivation of the Cramér–Rao lower bound and the root mean square error is presented aimed at
Ruirui Liu   +3 more
doaj   +1 more source

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