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机构地区:[1]哈尔滨工程大学信息与通信工程学院,哈尔滨150001
出 处:《黑龙江大学自然科学学报》2007年第5期567-571,575,共6页Journal of Natural Science of Heilongjiang University
基 金:黑龙江科技攻关项目(GZ04A127)
摘 要:超宽带信号的快速同步捕获是实现UWB系统的一个重大挑战。提出了一种基于特殊训练序列的同步捕获算法,它只需对接收信号进行符号速率的积分清洗运算,然后根据信号的依次截取实现同步参数的搜索估计。该算法有效地提高了密集多径信道下极窄脉冲能量捕获,并且降低了运算复杂度和同步捕获时间。通过计算机仿真评估了在密集多径信道下,训练序列长度对捕获精度和系统误码性能的影响,以及捕获性能、系统误码性能与信噪比的变化关系。仿真实验表明,在训练序列长度为16、32时误码性能曲线和理想同步情况下已十分接近。这说明与传统的数据辅助算法相比,该算法只需要较短的训练序列就可以实现较理想的系统性能,从而提高了系统的带宽利用率。Rapid timing acquisition constitutes a major challenge in realizing the Ultra Wideband (UWB) technology. A timing acquisition algorithm based on special training symbols is presented. The scheme achieves timing acquisition at the receiver using simple integrate - and - dump operations over the symbol duration and by a serial search. The algorithm increases the energy captured in the receive waveform, which reduces considerably implementation complexity and acquisition time. The bit -error- rate (BER) and acquisition performance are also provided in terms of simulation, which indicates that with 16,32 training symbols, the scheme achieves BER performance close to that corresponding to the case with perfect timing. Compared to the conventional timing algorithms, the proposed algorithm even with relatively short training sequence can pronounced impove the the BER performance of the system.
分 类 号:TN914.42[电子电信—通信与信息系统]
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