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机构地区:[1]湖南工业大学电气与信息工程学院,湖南株洲412000
出 处:《通信技术》2008年第7期47-49,共3页Communications Technology
摘 要:超宽带(UWB)以其隐蔽性好、传输速率高、抗多径和窄带干扰能力强等优点,在短距多址无线通信中良好的应用前景而引起广泛研究。以多带OFDM超宽带通信系统为背景,主要研究UWB系统室内密集多径信道的估计,提出两种基于训练比特的UWB信道估计算法——ML算法和IML算法。仿真结果表明:两种信道估计算法都能够有效估计信道参数,而IML算法在消除多径成分之间相互干扰方面更优越。Ultra-wideband(UWB)communication has been the subject for extensive research due to its good secrecy, high rate and strength in resistingmultipath interference, particularly the potential applications in short-range multiple access wireless communications. The indoor multipath channel estimation technology is mainly studied based on multiband orthogonal frequency-division multiplexing ultra wideband. In this paper, two UWB channel estimation algorithms with training bits- ML algorthim and IML algorthim is proposed. The simulation results show that two algorithms can efficiently estimate channel parameters, and the IML algorthim, as compared with the ML algorthim, has better performance in getting rid of multipath interference.
分 类 号:TN183[电子电信—物理电子学]
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