Its results show that in order to maintain desired BER performance the fixed estimalion error should be less than 0.07 dB, thd deviation of random estimation error should be less than 0.6, and the time-delay should be controlled within 0.001/(v/λc).
Based on the Kalman filtering method and white noise estimation theory, under the linear minimum variance optimal information fusion criterion weighted by matrices,a multisensor distributed fusion optimal white noise deconvolution filter is presented for systems with ARMA colored measurement noise,where the formulas of computing cross-covariances among local estimation errors by Lyapunov equations are derived,which is applied to compute optimal weights.
For the calibration curve,the estimated error,intercept and slope of the regession equation(r2= 0. 995 6)had no significant differences, as compared with related parameters measured by spectrophotometed(optical path 1.0cm);
It is useful especially when the statistical formulas are hard to be got. Both parametric bootstrap and non parametric bootstrap,the estimated error of bootstrap, the distinction of bootstrap and Monte Carlo simulation, bootstrap after jacknife are discussed.
A few important aerodynamic parameters are identified by using (CMAC) neural network, proved the boundedness of the estimated error and the weight error and then designed the block diagonal controller (BDC) of the missile by means of analytical inverse solution and variable structure control.
This algorithm accepts additional errors in SBH's spectrum resulting from the hybridization experiment and the estimate error of target DNA length, and can greatly reduces ambiguities in the reconstruction of DNA sequencing.
The estimation error (RMSE) of the total volume was 44.2%, much lower than those for Larix forest (the RMSE was 51.7%) and those for the Korean pine and broadleaved forests (the estimation errors were over 71.7% and 88.19%, respectively).
The simulation shows that the algorithm brings about fewer channel estimation errors while the frequency efficiency can be increased.
Performance of the Zero Forcing precoding MIMO broadcast systems with channel estimation errors
In this paper, the effect of channel estimation errors upon the Zero Forcing (ZF) precoding Multiple Input Multiple Output Broadcast (MIMO BC) systems was studied.
Analysis and simulation show that if the covariance of channel estimation errors is independent of the received Signal to Noise Ratio (SNR), imperfect channel knowledge deteriorates the sum capacity and the Bit Error Rate (BER) performance severely.
The estimated error of measurement of the coefficients of spectral emissivity is 10%.
Both estimated error exponents are similar to those for woven convolutional codes with outer and inner warp.
The equation of transfer function is with an average estimated error of about 53.778 mg · C/m2 · d, which is 14.69% in average observed values.
The calculation method about infrared multi-sites passive system location is introduced based on the principle of the weighted least square method, and the variance matrix of estimated error is offered.
for Ne are about 10-20% low, but not far outside our estimated error.
The rate of convergence of the nonparametric estimate and the principal part of the expansion of the mean-square estimate error are determined.
An estimate operatorWk which is related to error operatorBk in the restoration process is introduced to decrease the estimate error and increase the convergence rate.
For the problem of deterministic parameter estimate, the theoretical lower bound of estimate error is the Cramér-Rao bound; while for random parameter, the lower bound of estimate error is generally termed by Posterior Cramér-Rao Bound (PCRB).
The analytical results show that the estimate error of the first method is less than that of the second method and the latter can not only estimate the concentration of suspended sediment but also give the absorption coefficient of sound.
Since the non-unique solution exists in the inversion for finite-fault rupture history, the random weighting method has been used to estimate error of the inversion results in this paper.