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Proceedings Paper

Robust nonstationary jammer mitigation for GPS receivers with instantaneous frequency error tolerance
Author(s): Ben Wang; Yimin D. Zhang; Si Qin; Moeness G. Amin
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Paper 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.

Paper Details

Date Published: 4 May 2016
PDF: 7 pages
Proc. SPIE 9857, Compressive Sensing V: From Diverse Modalities to Big Data Analytics, 98570G (4 May 2016); doi: 10.1117/12.2225835
Show Author Affiliations
Ben Wang, Harbin Engineering Univ. (China)
Temple Univ. (United States)
Yimin D. Zhang, Temple Univ. (United States)
Si Qin, Villanova Univ. (United States)
Moeness G. Amin, Villanova Univ. (United States)

Published in SPIE Proceedings Vol. 9857:
Compressive Sensing V: From Diverse Modalities to Big Data Analytics
Fauzia Ahmad, Editor(s)

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