Robust nonstationary jammer mitigation for GPS receivers with instantaneous frequency error tolerance

Ben Wang; Yimin D. Zhang; Si Qin; Moeness G. Amin

doi:10.1117/12.2225835

4 May 2016 Robust nonstationary jammer mitigation for GPS receivers with instantaneous frequency error tolerance

Ben Wang, Yimin D. Zhang, Si Qin, Moeness G. Amin

Proceedings Volume 9857, Compressive Sensing V: From Diverse Modalities to Big Data Analytics; 98570G (2016) https://doi.org/10.1117/12.2225835
Event: SPIE Commercial + Scientific Sensing and Imaging, 2016, Baltimore, MD, United States

Abstract

In this paper, we propose a nonstationary jammer suppression method for GPS receivers when the signals are sparsely sampled. Missing data samples induce noise-like artifacts in the time-frequency (TF) distribution and ambiguity function of the received signals, which lead to reduced capability and degraded performance in jammer signature estimation and excision. In the proposed method, a data-dependent TF kernel is utilized to mitigate the artifacts and sparse reconstruction methods are then applied to obtain instantaneous frequency (IF) estimation of the jammers. In addition, an error tolerance of the IF estimate is applied is applied to achieve robust jammer suppression performance in the presence of IF estimation inaccuracy.

Citation Download Citation

Ben Wang, Yimin D. Zhang, Si Qin, and Moeness G. Amin "Robust nonstationary jammer mitigation for GPS receivers with instantaneous frequency error tolerance", Proc. SPIE 9857, Compressive Sensing V: From Diverse Modalities to Big Data Analytics, 98570G (4 May 2016); https://doi.org/10.1117/12.2225835

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