A pulse extraction method based on statistical histogram

Yue Li; Xiaolong Chen; Kang Diao; Qinshan Zhou; Qinghe Sun

doi:10.1117/12.2639183

23 May 2022 A pulse extraction method based on statistical histogram

Yue Li, Xiaolong Chen, Kang Diao, Qinshan Zhou, Qinghe Sun

Proceedings Volume 12254, International Conference on Electronic Information Technology (EIT 2022); 122541L (2022) https://doi.org/10.1117/12.2639183
Event: International Conference on Electronic Information Technology (EIT 2022), 2022, Chengdu, China

Abstract

Pulse compression signal is widely used in radar detection because of its outstanding anti-interference ability. The parameter measurement of pulse signal by signal analyzer is the basis of accurate detection, and the extraction of single pulse can reduce the complexity of pulse measurement. The commonly used neural network extraction methods have high algorithm complexity and are difficult to implement in instruments. In this paper, a pulse extraction method based on statistical histogram is proposed to achieve pulse power level classification. The paper estimates the pulse top power, base power and pulse amplitude, and propose the algorithm flow of pulse endpoint position extraction. Using MATLAB simulation, it is proved that the relative error of the parameter estimation results of the algorithm in this paper is less than 0.2%. The algorithm complexity is reduced by 20% compared with the traditional method.

Citation Download Citation

Yue Li, Xiaolong Chen, Kang Diao, Qinshan Zhou, and Qinghe Sun "A pulse extraction method based on statistical histogram", Proc. SPIE 12254, International Conference on Electronic Information Technology (EIT 2022), 122541L (23 May 2022); https://doi.org/10.1117/12.2639183

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