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Frequency Domain Subspace Decomposition Realization of UWB Synchronization Based on PSO

机译:基于PSO的UWB同步的频域子空间分解实现

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In UWB systems, the power of the signals are attenuated and dispersed when received due to the multi path experience, which makes it difficult to achieve synchronization. In order to make the UWB signal received efficiently and reliably, we proposed a fine symbol synchronization algorithm. Making use of the feature of UWB signal in frequency domain subspace, the algorithm takes advantage of Particle Swarm Optimization to achieve signal synchronization. In the algorithm the synchronous deviation is estimated with the help of frequency domain subspace decomposition and is optimized by Particle Swarm Optimization. The algorithm is of low complexity and can easily be applied to engineering. The simulation results show that the proposed algorithm has a better performance compared to the synchronization algorithm based on singular value decomposition. With low complexity and high performance, the proposed synchronization algorithm can make the UWB signal received efficiently and reliably.
机译:在UWB系统中,由于多路径体验,信号的功率在被接收时被衰减和分散,这使得难以实现同步。为了使UWB信号高效,可靠地接收,我们提出了一种精细的符号同步算法。该算法利用频域子空间中的UWB信号特征,利用粒子群算法实现信号同步。在该算法中,借助频域子空间分解估计同步偏差,并通过粒子群优化对其进行优化。该算法复杂度低,可以很容易地应用于工程。仿真结果表明,与基于奇异值分解的同步算法相比,该算法具有更好的性能。所提出的同步算法具有低复杂度和高性能,可以使UWB信号高效,可靠地接收。

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