Orthogonal frequency division multiplexing (OFDM) is a transmission technique that is based on many orthogonal carriers that are transmitted simultaneously. OFDM effectively mitigates inter symbol interference (ISI) a...
详细信息
Orthogonal frequency division multiplexing (OFDM) is a transmission technique that is based on many orthogonal carriers that are transmitted simultaneously. OFDM effectively mitigates inter symbol interference (ISI) and has high-efficient frequency utilization. OFDM channel estimation is one of the key technologies in the OFDM system. In this paper, channel estimation techniques for OFDM systems, based on pilot-aided channel estimation algorithm, over mountain wireless environment are investigated. It is well known that least square (ls) and linear minimum mean square error (LMMSE) algorithms are effectual channel estimation methods for OFDM. We propose a novel modifiedls channel estimation method, which is based on noise reduction procedure to improve the channel estimation accuracy. The simulation results demonstrate that comparing to ls channel estimation algorithm, LMMSE algorithm and the proposed modified ls algorithm provide better performances. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Harbin University of Science and Technology
Orthogonal frequency division multiplexing (OFDM) is a transmission technique that is based on many orthogonal carriers that are transmitted simultaneously. OFDM effectively mitigates inter symbol interference (ISI) a...
详细信息
Orthogonal frequency division multiplexing (OFDM) is a transmission technique that is based on many orthogonal carriers that are transmitted simultaneously. OFDM effectively mitigates inter symbol interference (ISI) and has high-efficient frequency utilization. OFDM channel estimation is one of the key technologies in the OFDM system. In this paper, channel estimation techniques for OFDM systems, based on pilot-aided channel estimation algorithm, over mountain wireless environment are investigated. It is well known that least square (ls) and linear minimum mean square error (LMMSE) algorithms are effectual channel estimation methods for OFDM. We propose a novel modifiedls channel estimation method, which is based on noise reduction procedure to improve the channel estimation accuracy. The simulation results demonstrate that comparing to ls channel estimation algorithm, LMMSE algorithm and the proposed modified ls algorithm provide better performances.
Mountaionus terrain with moderate-to-heavy tree densities generally falls under maximum path loss category, during signal strength prediction and simulation in macrocellular environment. Traditional path loss models l...
详细信息
ISBN:
(数字)9781665452984
ISBN:
(纸本)9781665452984
Mountaionus terrain with moderate-to-heavy tree densities generally falls under maximum path loss category, during signal strength prediction and simulation in macrocellular environment. Traditional path loss models like Hata-Okumura model etc. are not suitable for hilly terrain with moderate-to-heavy tree densities. Recently, replecating the actual terrain scenarios, various Stanford University interim (SUI) channel models are proposed. The contribution of this work are two fold. First, we propose a modified least square (ls) algorithm which can efficiently estimate the channel model SUI-6. Secondly, to satisfy the required conditions of the proposed modified ls algorithm, we propose a new class of Z-complementary pairs (ZCPs). Numerical simulations ensure the efficacy of the proposed ZCPs under modified ls algorithm.
暂无评论