A novel compressive sampling system for chirp signal

Yang, Enpin; Yan, Xiao; Qin, Kaiyu

doi:10.1587/elex.14.20170204

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…Greedy pursuits build an approximation by making locally optimal choices at each step, and it includes matching pursuit (MP) [14], orthogonal MP (OMP) [15,16], regularized OMP (ROMP) [17], compressive sampling MP (CoSaMP) [18,19], and so on. Some researchers have extended these classic greedy algorithms to solve the MMV problem [20,21].…”

Section: Introductionmentioning

confidence: 99%

A double screening orthogonal-matching-pursuit algorithm for compressed sensing receiver with high column correlation sensing matrix

Wang

You

et al. 2019

IEICE Electron. Express

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Modulated wideband converter (MWC) is a multi-branch structure for sub-Nyquist sampling the signals which spectra are sparse. With several band-limited sampling sequences, MWC can recover the signals by compressed sensing (CS) reconstruction algorithms. However, for hardware-implemented MWC, the hardware scale and imperfection of the physical devices lead to strong column correlations of the sensing matrix which may invalidate the classic CS algorithms. Combined with the characteristics of the sensing matrix of the CS receiver, this paper proposes the double screening orthogonal matching pursuit algorithm (DSOMP) to solve this problem. DSOMP updates the support based on the distance from the residual to the column vector subspace of the sensing matrix and adds a secondary screening mechanism to remove strong interference terms. With the strong column correlation sensing matrix of the CS receiver, DSOMP exhibits an excellent support set recovery rate.

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