Multiband signal acquisition using improved modulated wideband converter. Issue 3 (8th March 2019)

• Record Type: Journal Article
• Authors: Cai, Changxin; Wen, Fangqing; Huang, Dongmei
• Is Part Of: Journal of engineering. Volume 2019:Issue 3(2019)
• Page Start: 657
• Page End: 661
• Publication Date: 2019-03-08
• Subjects: signal reconstruction -- random sequences -- signal detection -- frequency modulation -- compressed sensing -- binary sequences -- signal sampling; improved modulated wideband converter -- recovering sparse wideband signals -- sparse multiband signal acquisition -- sinusoidal frequency modulation -- harmonic property -- SMF signals -- high‐speed devices -- existing pseudorandom binary sequences‐based MWC -- PRBS‐MWC; Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/joe.2018.5074
• Languages: English
• ISSNs: 2051-3305

Abstract

Abstract : In this study, the authors stress the problem of sampling and recovering sparse wideband signals. A new methodology for sparse multiband signal acquisition using sinusoidal frequency modulation (SMF) multiplier‐based modulated wideband converter (MWC) is presented. The harmonic property of the SMF signals enables sparse multiband signal to be precisely recovered from the sub‐Nyquist measurements without any high‐speed devices. The proposed architecture offers very close recovery accuracy to the existing pseudorandom binary sequences (PRBS)‐based MWC in the absence of the prior knowledge of sparse wideband signals, while it provides more accurate recovery performance than the PRBS‐MWC in the presence of prior information concerning sparsity. Besides, the proposed architecture is easier for hardware implementation than the PRBS‐MWC. The experimental results demonstrate the effectiveness of the proposed scheme.