Robust transform domain signal processing for GNSS
Robust transform domain signal processing for GNSS
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DOI：
10.1002/navi.300
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发表时间：
2019-06-01
影响因子：
2.2
通讯作者：
Closas, Pau
中科院分区：
文献类型：
--
作者：
Borio, Daniele;Closas, Pau
鲁棒信号处理技术是有效的减缓方法，可使全球导航卫星系统（GNSS）接收器即使在存在强干扰的情况下也能正常工作。我们将鲁棒GNSS信号处理扩展到在变换域（TD）中允许稀疏表示干扰的情况。更具体地说，使用标准正交变换将接收到的GNSS样本投影到适当的TD中。然后应用鲁棒信号处理策略。通过对TD样本施加零记忆非线性（ZMNL）得到鲁棒变换域（RTD）交叉模糊函数（CAF），然后将其用于评估CAF。分析了不同的非线性，并提出了评价RTD CAF的不同实现方法。RTD方法的特点是从理论的角度来看，使用蒙特卡罗模拟和通过硬件模拟器产生的GNSS信号的处理。
Robust signal processing techniques are effective mitigation approaches that can enable Global Navigation Satellite System (GNSS) receiver operations even in the presence of strong interference. We extend robust GNSS signal processing to the case where interference admits a sparse representation in a transform domain (TD). More specifically, an orthonormal transformation is used to project the received GNSS samples into an appropriate TD. Robust signal processing strategies are then applied. The robust transform domain (RTD) cross-ambiguity function (CAF) is obtained by applying a zero-memory nonlinearity (ZMNL) to the TD samples, which, in turn, are used for the evaluation of the CAF. Different nonlinearities are analyzed and different implementations for the evaluation of the RTD CAF are proposed. The RTD approach is characterized from a theoretical point of view, with the usage of Monte Carlo simulations and through the processing of GNSS signals generated with a hardware simulator.