Optimum low complexity filter bank for generalized orthogonal frequency division multiplexing
نویسندگان
چکیده
منابع مشابه
Optimum low complexity filter bank for generalized orthogonal frequency division multiplexing
Generalized frequency division multiplexing (GFDM) is one of the multicarrier modulation candidates proposed for the 5th generation of wireless networks. Among GFDM linear receivers, GFDM MMSE receiver achieves the best error performance for multipath fading channels at the cost of high numerical complexity. Hence, the combination of GFDM match filter (MF) receiver and double-side successive in...
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The system described in this paper is an asymmetric adaptation of orthogonal frequency division multiplexing (OFDM). In a conventional OFDM system, the signal processing hardware is divided equally between the base station and the terminal. In the asymmetric system, most of the complex signal processing hardware is shifted to the base station, making the terminal a simpler and more power-effici...
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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...
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Due to the increase of users the efficient usage of spectrum plays an important role in digital terrestrial television networks. In digital video broadcasting, local and global content are transmitted by single frequency network and multifrequency network respectively. Multifrequency network support transmission of global content and it consumes large spectrum. Similarly local content are well ...
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The Channel estimation is one of the fundamental issues of OFDM system design. Techniques that are used for channel estimation of OFDM system are least-square (LS) and minimum-mean-square-error (MMSE) techniques. The LS Estimator algorithm is very simple, but it may be subject to noise enhancement, so the performance is worse. The MMSE Estimator gives better performance than LS and MSE is minim...
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ژورنال
عنوان ژورنال: EURASIP Journal on Wireless Communications and Networking
سال: 2018
ISSN: 1687-1499
DOI: 10.1186/s13638-017-1017-x