Underdetermined Blind Separation of Mixtures of an Unknown Number of Sources with Additive White and Pink Noises

Alshabrawy, Ossama S.; Hassanien, Aboul Ella

doi:10.1007/978-3-319-08156-4_24

Cited by 1 publication

(1 citation statement)

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“…A signal separation method based on the Bayesian method with the greatest expectation was proposed in [8]. Literatures [9], [10] solve the underdetermined blind source separation problem through non-negative matrix factorization and finite sub-symbol set. A subspace projection based algorithm was developed in [11].…”

Section: Introductionmentioning

confidence: 99%

Research on Anti-Jamming Technology of Chaotic Composite Short Range Detection System Based on Underdetermined Signal Separation and Spectral Analysis

et al. 2019

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The chaotic phase-modulated linear frequency modulation short-range detection system (CPLF-SrDS) is a new type of composite detection system. Compared with traditional methods, it benefits from the short-term randomness and long-term certainty of chaos and is more powerful in determining the distance. To design such a system, the key problem lies in robustly recovering the echo signal against externally suppressed interferences. Combining 4th-order cumulant and joint diagonalization, this paper first develops a new signal separation approach to realize an underdetermined separation of the echo signal and an interference signal from their mixture. Then, both bispectrum analysis and singular spectrum analysis are adapted to analyze the separated signals and extract their characteristic parameters. Furthermore, the GA-BP network is utilized to classify the echo and interference signals. Finally, the anti-interference analysis of this CPLF-SrDS is realized. The experimental results show the effectiveness of the proposed method in the presence of externally suppressed amplitude modulation (AM) interference and frequency modulation (FM) interference.

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