Pilot Based Channel Estimation for Mimo- Ofdm Systems

نویسنده

  • K. Vidhya
چکیده

In this paper to improve the channel estimation accuracy in OFDM system , channel state information is required for signal detection at receiver and its accuracy affects the overall performance of system and it is essential to improve the channel estimation for more reliable communications. This paper addresses channel estimation based on time-domain channel statistics, using a general model LS (least square), MMSE (minimum mean square estimation) and BLUE (best linear unbiased estimation) estimators for a slowly fading channel. Depending upon estimator complexity, up to 30 dB in SNR can be gained over the LS estimator. In this work we have compared different type of channel estimation algorithm for Orthogonal Frequency Division Multiplexing systems. Mat lab simulation results the Bit error rate for the algorithms LS, MMSE, BLUE are compared. KeywordsMIMOOFDM , LS, MMSE, BLUE

برای دانلود 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

Mimo-ofdm Communication Systems: Channel Estimation and Wireless Location

In this new information age, high data rate and strong reliability features our wireless communication systems and is becoming the dominant factor for a successful deployment of commercial networks. MIMO-OFDM (multiple input multiple outputorthogonal frequency division multiplexing), a new wireless broadband technology, has gained great popularity for its capability of high rate transmission an...

متن کامل

A Hybrid of Bacterial Foraging and Modified Cuckoo Search Optimization for Pilot Symbol Design in MIMO-OFDM Systems

Modern mobile telecommunication systems are using MIMO combined with OFDM, which is known as MIMO-OFDM systems, to provide robustness and higher spectrum efficiency. The major challenge in this scenario is to obtain an accurate channel estimation to detect information symbols, once the receiver must have the channel state information to equalize and process the received signal. Channel estimati...

متن کامل

Training Based Channel Estimation in MIMO-OFDM Systems

OFDM combined with the MIMO technique has become a core and attractive technology in future wireless communication systems and can be used to both improve capacity and quality of mobile wireless systems. Accurate and efficient channel estimation plays a key role in MIMO-OFDM communication systems, which is typically realized by using pilot or training sequences by virtue of low complexity and c...

متن کامل

Low-rank pilot-symbol-aided channel estimation for MIMO-OFDM systems - Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th

In this paper, we propose the low-rank pilot-symbolaided (PSA) channel estimator for multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. The group-wise pilot patterns are also proposed for the low-rank channel estimator. We evaluate the performance of the proposed low-rank channel estimator for various mobile channel environments by computer simulation...

متن کامل

A Review of BER analysis for MIMO-OFDM System for Pilot Based Channel Estimation

In this paper, review to improve the channel estimation accuracy in OFDM system, channel state information is required for signal detection at receiver and its accuracy affects the overall performance of system and it is essential to improve the channel estimation for more reliable communications. A multipleinput multiple-output (MIMO) communication system combined with the orthogonal frequency...

متن کامل

Signal-Perturbation-Free Semi-Blind Channel Estimation for MIMO-OFDM Systems

Signal-Perturbation-Free Semi-Blind Channel Estimation forMIMO-OFDM Systems Feng Wan, Ph.D.Concordia University, 2009 Multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) has been considered as a strong candidate for the beyond 3G (B3G) wirelesscommunication systems, due to its high data-rate wireless transmission performance.It is well known...

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

برای دانلود 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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013