Efficient semi-blind estimation of multipath channel parameters via a delay decoupling optimization approach

نویسندگان

  • Athanasios A. Rontogiannis
  • Kostas Berberidis
  • Alexandra Marava
  • Jacques Palicot
چکیده

In this paper a parametric method for estimating the unknown multipath channel impulse response (CIR) in a semiblind manner is proposed. The main trait of this method is that instead of seeking the whole CIR sequence, only the unknown time delays and attenuation factors of the physical channel multipath components are estimated. The technique is based on a suitable application of the sub-channel response matching (SRM) criterion. The resulting cost function is separable with respect to the two sets of unknown parameters, i.e., time delays and attenuation factors, and thus a two step optimization procedure can be applied. Concerning the first step, which is the most difficult one, it is proven that the resulting non-linear cost function can be decoupled in terms of the respective time delay parameters. Thus, only a small number of simple linear searches needs to be executed in order to estimate the time delays of the multipath channel. The new method offers significant computational savings and a lower mean square estimation error as compared to existing semi-blind channel estimation methods. It performs well even for closely-spaced delays and is quite robust to channel overmodeling. r 2005 Elsevier B.V. All rights reserved.

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

Efficient multipath channel estimation using a semi-blind parametric technique

In this paper a parametric method for estimating the unknown channel impulse response (CIR) in a semi-blind manner is proposed. The main trait of this method is that instead of seeking the whole CIR sequence, only the unknown time delays and attenuation factors of the physical channel multipath components are estimated. The technique is based on a suitable application of the Subchannel Response...

متن کامل

Semi-Blind Channel Estimation based on subspace modeling for Multi-user Massive MIMO system

‎Channel estimation is an essential task to fully exploit the advantages of the massive MIMO systems‎. ‎In this paper‎, ‎we propose a semi-blind downlink channel estimation method for massive MIMO system‎. ‎We suggest a new modeling for the channel matrix subspace. Based on the low-rankness property, we have prposed an algorithm to estimate the channel matrix subspace. In the next step, using o...

متن کامل

Single-user sparse channel acquisition in multiuser DS-CDMA systems

Single user channel estimation for the case of sparse channels with large delay spreads is addressed. In addition, practical pulse shapes are considered. In sparse channels, the eecient way to estimate the parameters is to estimate the continuous delays of each path, instead of using the typical discrete tapped delay line model. Due to the facts that the desired delays are not drawn from a simp...

متن کامل

Estimation of multipath parameters in wireless communications

In a parametric multipath propagation model, a source is received by an antenna array via a number of rays, each described by an arrival angle, a delay and a fading parameter. Unlike the fading, the angles and delays are stationary over long time intervals. This fact is exploited in a new subspace-based high-resolution method for simultaneous estimation of the angle/delay parameters from multip...

متن کامل

Semi-blind beamspace-time interference cancellation using subspace channel identification for DS-WCDMA systems

Abstract – It was shown recently that semi-blind methods can be effective for separation, estimation, and classification of sources in wireless systems. These methods overcome difficulties of training algorithms (reduction of data information throughput) and blind ones (impossibility to classify separated source and multi-modal optimization due to non-linearities). In this paper, we present a s...

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:
  • Signal Processing

دوره 85  شماره 

صفحات  -

تاریخ انتشار 2005