Statistic-Based Magnitude Determination of Impulse Sample in Impulse Postfix OFDM Systems
نویسندگان
چکیده
Instead of pilot tones, the impulse sample is exploited for channel estimation in Impulse Postfix OFDM systems [1]. As the magnitude of impulse sample is increased, the accuracy of channel estimation can be enhanced, but it may significantly increase the PAPR of generated OFDM symbols. In this letter, based on the statistical analysis of the generated OFDM symbol, we propose a decision scheme for determining the magnitude of impulse sample. By using the proposed scheme, we can determine the magnitude of impulse sample that provides the enhancement of BER performance as well as the avoidance of PAPR increase. The validation of the proposed scheme is demonstrated by computer simulations. key words: channel estimation, OFDM, frequency equalization, ICI cancellation
منابع مشابه
Peak-to-average power ratio reduction scheme in impulse postfix OFDM system
A recently introduced impulse postfix OFDM (IPOFDM) system achieves the enhanced bit error rate (BER) performance compared to that of conventional OFDM systems, but there is an important peak-to-average power ratio (PAPR) issue of using impulse postfix (IP) that needs to be resolved. This paper proposes a combined IP-OFDM scheme with the selected mapping technique and the optimum power boosting...
متن کاملOptimum Noise Thresholds in Decision Directed Impulse Noise Mitigation for OFDM
This work was supported by an Australian Research Council (ARC) Large Grant. Abstract—Impulse noise is a significant problem in some OFDM applications including digital television broadcasting. In this paper we study the optimum threshold values for a novel decision directed impulse noise mitigation algorithm. In this algorithm the noise component in each received input sample is estimated base...
متن کاملPerformance Improvement in OFDM System with Interleaving and Blanking over Impulse Noise Environment
OFDM is a relatively new way to the field of digital communication but is finding more and more use due to its high spectral efficiency and robustness against interfering signal. Impulse noise is one of the major factors that can cause severe bit error performance degradation in OFDM systems. The impulse noise is usually of very short duration compared to symbol duration in parallel transmissio...
متن کاملEmpirical Mode Decomposition based Adaptive Filtering for Orthogonal Frequency Division Multiplexing Channel Estimation
This paper presents an empirical mode decomposition (EMD) based adaptive filter (AF) for channel estimation in OFDM system. In this method, length of channel impulse response (CIR) is first approximated using Akaike information criterion (AIC). Then, CIR is estimated using adaptive filter with EMD decomposed IMF of the received OFDM symbol. The correlation and kurtosis measures are used to sel...
متن کاملImpulse Noise Detection in OFDM Communication System Using Machine Learning Ensemble Algorithms
An impulse noise detection scheme employing machine learning (ML) algorithm in Orthogonal Frequency Division Multiplexing (OFDM) is investigated. Four powerful ML's multi-classifiers (ensemble) algorithms (Boosting (Bos), Bagging (Bag), Stacking (Stack) and Random Forest (RF)) were used at the receiver side of the OFDM system to detect if the received noisy signal contained impulse noise or not...
متن کاملذخیره 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 ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- IEICE Transactions
دوره 90-B شماره
صفحات -
تاریخ انتشار 2007