An Unbiased Scattering Function Estimator for Fast Time-varying Channels*

نویسندگان

  • Harold Art
  • Gerald Matz
  • Franz Hlawatsch
چکیده

E{S[m, I ] S*[m', l ' ] } = C[m, I ] 6[m m'] 6 [ l 1 ' 1 , (1) We propose an unbiased, computationally efficient estimator of the scattering function that is specifically suited to underspread WSSUS channels. The novel estimator allows for nonideal sounding signals, fast time-variation, and on-line where E denotes expectation, s[m, I1 = czzi h[n, m1 e-j21rln" is the (delay-Doppler) spreading function, and C[m, 21 is the scattering function [l]. Equivalently, operLtion during data transmission. Its good performance is assessed by a biaslvariance analysis and simulation results. E{ H [ n , IC] H* [n' , IC']} = RH [n n' , k IC'] , (2)

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Robust Adaptive Observer-Based Time Varying Fault Estimation

This paper presents a new observer design methodology for a time varying actuator fault estimation. A new linear matrix inequality (LMI) design algorithm is developed to tackle the limitations (e.g. equality constraint and robustness problems) of the well known so called fast adaptive fault estimation observer (FAFE). The FAFE is capable of estimating a wide range of time-varying actuator fault...

متن کامل

The Structure of Bhattacharyya Matrix in Natural Exponential Family and Its Role in Approximating the Variance of a Statistics

In most situations the best estimator of a function of the parameter exists, but sometimes it has a complex form and we cannot compute its variance explicitly. Therefore, a lower bound for the variance of an estimator is one of the fundamentals in the estimation theory, because it gives us an idea about the accuracy of an estimator. It is well-known in statistical inference that the Cram&eac...

متن کامل

MAP Sequence Estimation for Fading ISI

| In this paper we rst describe a Maximum A Posterior (MAP) based sequence estimation approach for unknown, fast fading, frequency selective digital communications channels. The approach incorporates prior probabilistic knowledge of the channel via a stochastic channel model. We then assume a rst order Gauss-Markov channel model to derive a speciic MAP estimator, and we describe a Per Survivor ...

متن کامل

Estimation Based on an Appropriate Choice of Loss Function

Some examples of absurd uniformly minimum variance unbiased estimators are discussed. Two reasons, argued in the literature, for having such estimators are lack of enough information in the available data and property of unbiasedness. In this paper, accepting both of these views, we show that an appropriate choice of loss function using a general concept of unbiasedness leads to risk unb...

متن کامل

Application of adaptive sampling in fishery part 2: Truncated adaptive cluster sampling designs

There are some experiences that researcher come across quite number of time for very large networks in the initial samples such that they cannot finish the sampling procedure. Two solutions have been proposed and used by marine biologists which we discuss in this article: i) Adaptive cluster sampling based on order statistics with a stopping rule, ii) Restricted adaptive cluster sampling. Until...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004