For the autocorrelation and power spectrum based methods, the results of thechannel estimation will have an impact on the estimation precision, while for the levelcrossing rate based methods, it falls to estimate the maximum Doppler frequency when thechannel condition is hostile.
The method estimates carrier frequency from the signal's instantaneous frequency, and improves the estimation precision by decreasing the wave and impulse of the signal's instantaneous frequency through detecting signal's better segments and median filtering.
According to the similarity of working principles of Elman network and non-linear ARMA model, Elman network is utilized to be an error estimator to compensate the estimation precision of Kalman filter.
On the basis of it, the ML algorithms amending scheme of Schmidle&cox algorithms and the classic MUSIC algorithms were researched and simulated in MATLAB environment. Following is the conclusions: the maximum likelihood algorithm based on the CP using the CP to estimate timing offset and frequency offset. So the estimating accuracy is high and computing amounts is low;
amending scheme of Schmidle&cox algorithms employed a training sequence to estimate timing offset and frequency offset. The estimating accuracy is high and frequency estimating range is wide but the added training sequence lower the system transmission efficiency .
The theoretical analysis and computer simulation show thatthe estimating accuracy,the converting speed and the calculating complexity of this method areall superior to those of LMS adaptive time delay estimation.
Based on the problem of inferior estimating accuracy of the desired signal array response vector for small spreading gain and multiple users in CDMA, by constructing a new sequence with the despread data and the symbols received by the base station, it proposes a new algorithm of estimating beamforming weights of the desired user.
It is shown that the precision of estimation,the ability of resisting interferences,the speed of convergence and the calculating complexity of the method are all superior to those of LMS adaptive time delay estimation.
The analysis and simulation demonstrate that the algorithm not only furnishes some degree of resistance to the near-far effect, but also gives an evident enhancement to the performance and precision of estimation in DOA under low SNR.
The throughput of LANs with the DCF mechanism under high load and in noise is evaluated by an analytical method, which ensures high estimation accuracy for any values of protocol parameters and bit error rates.
Convergence is demonstrated, convergence rate is estimated, and parameter estimation accuracy is derived.
A randomized stochastic optimization algorithm: Its estimation accuracy
In the construction of the estimate, we use the sequential analysis approach, which involves a special choice of the observation termination instant, depending on the estimation accuracy.
Singularity (i.e., very poor estimation accuracy) occurs in this problem if objects are very close to each other.
Simulation results show that this new method has some special features, such as higher estimation precision, lower amount of calculation, higher fitting effect even in lower signal-to-noise ratio (SNR) situation.
Finally, an analysis of factors influencing estimation precision is given.
Simulation studies indicate that the QTL position and effect can be estimated using our model, but the estimation precision can be improved from the higher- over lower-order approximation when the sample size used and gene effects are small.
The results suggest that KOlog can improve estimation precision compared with KO for lognormally distributed data.
The experimental results indicate that the estimation precision of the satellite-plus-receiver instrumental bias is of the order of ±0.17 nsec.
Estimating Accuracy of Mom Solutions On Arbitrary Triangulated 3-D Geometries Based On Examination of Boundary Conditions Perfor
A new error metric is applied for estimating accuracy of MoM solutions on purely 3-D geometries using triangle doublet basis functions.
Further, BCP error metric is examined for estimating accuracy of the scattering problem solution on open cube geometry, and to find the correlation of BCP error with that for near-field characteristics.
In this paper, we review some existing formulas for lower confidence bounds that can be used to determine the sample size required for a given estimating accuracy ratio.
These materials, rich in uranium, are available as reference materials, for estimating accuracy in the analysis of vegetation, from the Canadian Certified Reference Materials Project in Ottawa, Canada.