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Fast Computation of cross-ambiguity function

Journal of Beijing Institute of Technology 2008年第4期17卷 466-471页

作者：卓智海单涛陶然 School of Information Science and Technology Beijing Institute of Technology

A novel method based on zoom fast Fourier transform（FFT） is proposed for minimizing the burden processing of cross-ambiguity functions without affecting performance. The low-pass anti-aliasing filter in zoom FFT is realized by using the multistage filtering technique and the weighting processing is employed in the first stage filter to get rid of the redundancy of the computation. In practical systems, the input data is divided into overlapped data frames to avoid loss of detection ability which results in the rapid increase of computational complexity. A segment technique is also proposed in which CAF calculation of overlapped data frames is viewed as slide window FFT to decrease the computational complexity. The experimental results show that compared to the conventional methods, the proposed method can lower computational complexity and is consistent with the real time implementation in existing high-speed digital processors.

关键词： cross-ambiguity function pre-weight zoom fast Fourier transform (FFT) multistage filtering

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3D Visualization of Indoor GPS L5Q Baseband Signal and Its Long-Coherent De-noising Using Graph Fourier Transform

3D Visualization of Indoor GPS L5Q Baseband Signal and Its L...

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第十三届中国卫星导航年会

作者： Yiran Luo Naser El-Sheimy Department of Geomatics Engineering University of Calgary

Graph signal processing（GSP） has been hotly debated in many research fields at present times. The GSP minimizes the irregular errors of the interfered input signals. An accurate time-of-arrival estimation from a weak and multipath channel is an extremely challenging case in the field of global navigation satellite systems（GNSSs）. To recover the contaminated signal power, the GSP is a promising tool to construct an optimal filter, and, then, differentiate the line-of-sight（LOS） signal power and the other irregular noise power. In this work, a threedimension（3 D） visualized graph is firstly presented with the cross-ambiguity function（CAF） between the incoming GPS L5 Q signal and its replica. Then, the long coherent integration is used to reduce the multipath effect on the correlation amplitude. After that, the graph Fourier transform（GFT） is used to further denoise the proposed baseband graph. The intermediate frequency（IF） L5 Q signal is collected in a real-world indoor situation and it is used to implement the experiments. The correlation amplitude and the s-curve distribution demonstrate the performance of the proposed algorithm.

关键词： cross-ambiguity function graph Fourier transform indoor GPS L5 long coherent integration GNSS baseband de-noising

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