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首页> 外文期刊>EURASIP journal on advances in signal processing >Pilot symbol assisted channel estimation for OFDM-based cognitive radio systems
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Pilot symbol assisted channel estimation for OFDM-based cognitive radio systems

机译:基于OFDM的认知无线电系统的导频符号辅助信道估计

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In this article, challenges regarding the provision of channel state information (CSI) in non-contiguous orthogonal frequency division multiplexing (NC-OFDM) cognitive radio (CR) systems are addressed. We propose a novel scheme that utilizes cross entropy (CE) optimization together with an analytical pilot power distribution technique to design pilot symbols that minimizes the channel estimate mean squared error (MSE) of frequency-selective channels. The optimal selection of pilot subcarriers is a combinatorial problem that requires heavy computations. To reduce the computational complexity, the CE optimization is utilized to determine the position of pilot subcarriers. Then, for a given pilot placement obtained by the CE algorithm, a closed form expression to obtain optimal pilot power distribution is employed. Simulation results indicate that, the proposed pilot symbol design provides better channel estimate MSE as well as the bit error rate (BER) performance when compared with the conventional equal powered pilot design.
机译:在本文中,解决了有关在不连续的正交频分复用(NC-OFDM)认知无线电(CR)系统中提供信道状态信息(CSI)的挑战。我们提出了一种新颖的方案,该方案利用交叉熵(CE)优化以及分析导频功率分配技术来设计导频符号,以最小化频率选择信道的信道估计均方误差(MSE)。导频子载波的最佳选择是需要大量计算的组合问题。为了降低计算复杂度,利用CE优化来确定导频子载波的位置。然后,对于通过CE算法获得的给定飞行员位置,采用闭式表达式以获得最佳飞行员功率分布。仿真结果表明,与常规的等功率导频设计相比,提出的导频符号设计提供了更好的信道估计MSE以及误码率(BER)性能。

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