SVD based reconfigurable SRC filter for multi-standard radio receivers
With the recent growth in wireless industry, and changes that occur at a faster pace in radio standards, software defined radio (SDR) provides a flexible solution when compared with hardware radios. Channelisation and sample rate conversion (SRC) are two computational intensive tasks to be carried o...
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          | Published in | IET circuits, devices & systems Vol. 10; no. 5; pp. 375 - 382 | 
|---|---|
| Main Authors | , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        Stevenage
          The Institution of Engineering and Technology
    
        01.09.2016
     John Wiley & Sons, Inc  | 
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| Online Access | Get full text | 
| ISSN | 1751-858X 1751-8598 1751-8598  | 
| DOI | 10.1049/iet-cds.2016.0073 | 
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| Abstract | With the recent growth in wireless industry, and changes that occur at a faster pace in radio standards, software defined radio (SDR) provides a flexible solution when compared with hardware radios. Channelisation and sample rate conversion (SRC) are two computational intensive tasks to be carried out in SDR receivers. Reconfigurable anti-aliasing filter and channeliser with minimum reconfiguration overhead is needed for the design of SDR receivers. Low complexity, coefficientless cascaded-integrator-comb filters provides flexible reconfiguration for SRC over a wide integer range, but offers gain droop in the passband of interest. Moreover, they are not suitable for achieving SRC by fractional rates. In this study, the authors propose the design of variable digital filter (VDF) for gain droop compensation and fractional SRC to meet the spectral characteristics of multiple radio communication standards, employing singular value decomposition algorithm. The proposed design of VDF is tested for its reconfigurability with four radio standards, namely, GSM900, WCDMA/CDMA 2000 and WiMAX 802.16. Simulations carried out in MATLAB showed that the proposed VDF had improved spectral response in comparison to other methods proposed in literature. | 
    
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| AbstractList | With the recent growth in wireless industry, and changes that occur at a faster pace in radio standards, software defined radio (SDR) provides a flexible solution when compared with hardware radios. Channelisation and sample rate conversion (SRC) are two computational intensive tasks to be carried out in SDR receivers. Reconfigurable anti‐aliasing filter and channeliser with minimum reconfiguration overhead is needed for the design of SDR receivers. Low complexity, coefficientless cascaded‐integrator‐comb filters provides flexible reconfiguration for SRC over a wide integer range, but offers gain droop in the passband of interest. Moreover, they are not suitable for achieving SRC by fractional rates. In this study, the authors propose the design of variable digital filter (VDF) for gain droop compensation and fractional SRC to meet the spectral characteristics of multiple radio communication standards, employing singular value decomposition algorithm. The proposed design of VDF is tested for its reconfigurability with four radio standards, namely, GSM900, WCDMA/CDMA 2000 and WiMAX 802.16. Simulations carried out in MATLAB showed that the proposed VDF had improved spectral response in comparison to other methods proposed in literature. | 
    
| Author | Agarwal, Ashok Bopanna, Lakshmi  | 
    
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| Cites_doi | 10.1049/el.2009.1860 10.1109/98.788214 10.1109/TCSII.2011.2180093 10.1109/TAU.1973.1162525 10.1109/35.393001 10.1016/j.dsp.2009.03.013 10.1109/TCSII.2008.918996 10.1109/PROC.1973.9150 10.1109/TCSII.2011.2172522 10.1016/j.dsp.2009.04.014 10.1109/TSP.2004.834242 10.1109/TCT.1972.1083419 10.1109/ISCAS.2008.4541359 10.1049/el:20081603 10.1016/j.dsp.2006.06.003 10.1007/s11265‐008‐0327‐y 10.1109/TASSP.1977.1162980 10.1109/TASSP.1977.1162959 10.1109/TASSP.1981.1163535 10.1109/TCSII.2003.809713 10.1109/TSP.2004.831922 10.1109/TCSI.2004.840108 10.1109/TSP.2004.827150 10.1109/CROWNCOM.2008.4562506 10.1109/78.554309  | 
    
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| Keywords | SVD multiple radio communication standard MATLAB multistandard radio receiver software radio comb filters wireless industry variable digital filter VDF spectral characteristic minimum reconfiguration overhead singular value decomposition SDR GSM900 WCDMA spectral response reconfigurable SRC filter software defined radio reconfigurable antialiasing filter radio receivers antialiasing SDR receivers channelisation singular value decomposition algorithm CDMA 2000 digital filters passband gain droop compensation sample rate conversion WiMAX 802.16 computational intensive task coefficientless cascaded-integrator-comb filter  | 
    
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| SubjectTerms | Algorithms antialiasing Bandwidths CDMA 2000 channelisation Channelization coefficientless cascaded-integrator-comb filter comb filters computational intensive task Design Design engineering Design standards Digital filters Fourier transforms Gain gain droop compensation GSM900 Mathematical models MATLAB minimum reconfiguration overhead multiple radio communication standard multistandard radio receiver passband Radio Radio communications Radio frequency Radio receivers Receivers & amplifiers reconfigurable antialiasing filter reconfigurable SRC filter Reconfiguration sample rate conversion SDR SDR receivers Signal processing Singular value decomposition singular value decomposition algorithm Software software defined radio Software radio spectral characteristic spectral response Spectral sensitivity Spectrum allocation SVD Task complexity variable digital filter VDF WCDMA WiMAX 802.16 wireless industry  | 
    
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| Title | SVD based reconfigurable SRC filter for multi-standard radio receivers | 
    
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