Multichannel Radar Signal Recognition Algorithm Based on DCS

WANG Hong-wei;FAN Xiang-yu;CHEN You;YANG Yuan-zhi

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  • Sponsored by: China Association for Science and Technology (CAST)

    Editor-In-Chief: Xu Yida

    ISSN 1000-1093

    　

  • Hosted By: China Ordnance Society

    Published By: Acta Armamentarii

    CN 11-2176/TJ

Acta Armamentarii, a Chinese monthly journal, was first published in 1979. The journal is supervised by China Association for Science and Technology, sponsored by China Ordnance Society，and edited and published by Editorial Board of Acta Armamentarii. The Journal is included in all important domestic databases，and also collected by Engineering Index (EI, USA), Chemical Abstracts (CA, USA), Science Abstracts (SA, UK）, Abstract Journal (AJ, Russia), and Current Bibliography on Science and Technology(CBST).Acta Armamentarii has been selected into the journal Of Ordnance Science and Technology (Weapons Industry) Field Of High Quality Scientific and Technological Periodical Classification Catalogue (2022 edition), ranking T1, and the journal of Automotive Engineering Field of High Quality Scientific and technological Periodical classification Catalogue, ranking T2.
Acta Armamentarii ›› 2016, Vol. 37 ›› Issue (4) : 661-669. DOI: 10.3969/j.issn.1000-1093.2016.04.013
Paper

Multichannel Radar Signal Recognition Algorithm Based on DCS

  • WANG Hong-wei1， FAN Xiang-yu2， CHEN You2， YANG Yuan-zhi2
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Abstract

Recognizing the radar signal in complex electromagnetic environment is the necessary prerequisite for electronic countermeasures to play a role. The priori information about signal modulation and signal parameter is limited, which cannot provide enough intelligence support for signal sorting. In addition, the mixture of signals restricts the effectiveness of signal sorting. The issue mentioned above is converted to a blind source separation. A high-order disjunction matrix is established with Givens transform, and the blind source separation algorithm with degree of cyclostationarity (DCS) based on the third-order cyclic statistics which is suitable for two channel signals is expanded to the multichannel signals with different cyclostationarity frequencies. The feasibility of the proposed method is proved by theoretical derivation, and the method for establishing the parameters of Givens matrix is derived. The features of radar signal in cyclostationary domain are extracted with cyclostationarity theory. The method is simulated with DCS separation principles. The simulated results show that the algorithm can realize the effective sorting of multichannel radar signals.

Key words

radar engineering / signal recognition / cyclostationarity frequency / Givens matrix / DCS blind source separation algorithm / multichannel signal

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WANG Hong-wei， FAN Xiang-yu， CHEN You， YANG Yuan-zhi. Multichannel Radar Signal Recognition Algorithm Based on DCS. Acta Armamentarii. 2016, 37(4): 661-669 https://doi.org/10.3969/j.issn.1000-1093.2016.04.013

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