Emitter frequency refinement based on maximum likelihood

Xin Xu; Huijuan Wang

doi:10.1117/12.2197103

6 July 2015 Emitter frequency refinement based on maximum likelihood

Xin Xu, Huijuan Wang

Proceedings Volume 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015); 963123 (2015) https://doi.org/10.1117/12.2197103
Event: Seventh International Conference on Digital Image Processing (ICDIP15), 2015, Los Angeles, United States

Abstract

Frequency estimation via signal sorting is widely recognized as one of the most practical technologies in signal processing. However, the estimated frequencies via signal sorting may be inaccurate and biased due to signal fluctuation under different emitter working modes, problems of transmitter circuit, environmental noises or certain unknown interference sources. Therefore, it has become an important issue to further analyze and refine signal frequencies after signal sorting. To address the above problem, we have brought forward an iterative frequency refinement method based on maximum likelihood. Iteratively, the initial estimated signal frequency values are refined. Experimental results indicate that the refined signal frequencies are more informative than the initial ones. As another advantage of our method, noises and interference sources could be filtered out simultaneously. The efficiency and flexibility enables our method to apply in a wide application area, i.e., communication, electronic reconnaissance and radar intelligence analysis.

Citation Download Citation

Xin Xu and Huijuan Wang "Emitter frequency refinement based on maximum likelihood", Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 963123 (6 July 2015); https://doi.org/10.1117/12.2197103

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