Iterative Processing Structure for the Single-Channel Mixture of Digital-Modulated Adjacent-Frequency Source Signals

Yong, Yang; Peng, Hua; Zhang, Dongling; Wang, Peng

doi:10.1109/tvt.2019.2955998

Cited by 3 publications

(1 citation statement)

References 23 publications

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“…The under‐determined signal separation model has become a top topic because of its extensive usage in actual scenes. Single channel signal separation (SCSS) has become the mainstream method of under‐determined signal separation because of saving equipment resources (Yang et al., 2020). SCSS is difficult to separate each signal from the mixed signals due to the lack of prior knowledge.…”

Section: Introductionmentioning

confidence: 99%

An ASC‐Based Unitary Matrix Pencil Method for Parameter Estimation of Group Target

Sun

et al. 2023

Radio Science

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The unitary matrix pencil (UMP) method has been successfully applied to antenna array optimization. In this paper, the UMP method is applied to the parameter estimation of target detection based on the attributed scattering center (ASC) model. This method can accurately estimate the number of arbitrary group targets in the space. First, the RCS is reconstructed based on the ASC model. Since the unitary matrix can be used to process the parameter estimation of the echo with “sum of attenuation exponents,” the unitary matrix is constructed by the samples from this reconstructed RCS. Moreover, the stronger scattering center can be characterized via the larger singular values, and the number of group targets can be obtained by solving the number of large singular values. Then, singular value decomposition is performed on this unitary matrix, and some larger singular values are screened by setting an appropriate threshold. The higher estimation accuracy can be obtained by fusing the echoes from multiple frequencies and angles. Besides, the estimation accuracies of this proposed method in this paper are discussed under different signal‐to‐noise ratios considering the noise in the actual scene. Simulation results show that this method can effectively and accurately estimate the number of group targets, and it shows strong robustness.

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Section: Introductionmentioning

confidence: 99%