An improving beam-space MUSIC time delay estimation algorithm for OFDM signal

Fei Zhou, Luoyi Wang, Xin-yue Fan
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引用次数: 4

Abstract

To get a high precision of TOA estimation for the location based services (LBS) in OFDM wireless network, beam-space MUSIC algorithm is used in multi-path channels. Meanwhile, in order to improve anti-noise performance, a modified algorithm based on Teager-Kaiser (TK) operator is proposed. Due to subchip resolution capability and sensitive to the change of data's amplitude, TK operator processes the cross-correlation function firstly. Then the TOA is estimated by beam-space MUSIC algorithm. Stimulation results show that the noise mitigation of proposed algorithm has been improved. It could estimate the TOA accurately in lower SNR environment. The distinguish probability is more robust. The performance of high-resolution estimation has been improved.
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一种改进的OFDM信号波束空间MUSIC时延估计算法
为了提高OFDM无线网络中基于位置服务(LBS)的TOA估计精度,在多径信道中采用波束空间MUSIC算法。同时,为了提高图像的抗噪性能,提出了一种基于Teager-Kaiser (TK)算子的改进算法。由于子芯片的分辨率和对数据幅值变化的敏感性,TK算子首先处理互相关函数。然后用波束空间MUSIC算法估计TOA。仿真结果表明,该算法的降噪效果得到了改善。在较低信噪比的环境下,能较准确地估计TOA。识别概率更强。提高了高分辨率估计的性能。
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