An FFT‐Based High SNR MWC Back‐End Architecture with Analog Low‐Pass Filter Compensation. Issue 3 (1st May 2020)

• Record Type: Journal Article
• Authors: Liu, Sujuan; Liu, Lei
• Is Part Of: Chinese journal of electronics. Volume 29:Issue 3(2020)
• Page Start: 563
• Page End: 573
• Publication Date: 2020-05-01
• Subjects: computational complexity -- digital signal processing chips -- fast Fourier transforms -- low‐pass filters -- signal processing -- signal sampling; FFT‐based high SNR MWC -- back‐end architecture -- analog low‐pass filter compensation -- nonideal filters -- Modulated wideband converter -- analog filter compensating method -- conventional back‐end -- advanced MWC -- improved back‐end -- proper length -- digital signal -- recovery Signal‐to‐noise ratio -- computation loads -- compensating operation -- frequency point -- expanding operation -- ideal MWC -- different filters -- recovery SNR -- conventional MWC backend; Compressed sensing -- Modulated wideband converter -- Fast Fourier transform -- Non‐ideal low‐pass filters -- Compensation; Electronics -- Periodicals; Electronics -- China -- Periodicals; Electronics; China; Periodicals; 621.38105
• DOI: 10.1049/cje.2020.03.012
• Languages: English
• ISSNs: 1022-4653

Abstract

Abstract : We study the impacts of non‐ideal filters in Modulated wideband converter (MWC). An analog filter compensating method is presented. The limitations of the conventional back‐end of the advanced MWC is analyzed and an improved back‐end based on Fast Fourier transform (FFT) is proposed. By setting proper length of the digital signal processed each time, the proposed system increases the recovery Signal‐to‐noise ratio (SNR) and significantly reduces the computation loads. The compensating operation is accurate to each frequency point and the expanding operation is simplified to a splitting of the frequency points. Numerical simulations demonstrate our proposed system against the ideal MWC with different filters. The results indicate that the recovery SNR of over 70 decibel is achieved with almost only one‐tenth the computation complexity of the conventional MWC backend.