2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577) 2004
DOI: 10.1109/icc.2004.1313027
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Adaptive self-calibrating image rejection receiver

Abstract: Abstract-An adaptive self-calibrating image rejection receiver is described, containing a modified Weaver image rejection mixer and a Digital Image Rejection Processor (DIRP). The blind source-separation-based DIRP eliminates the I/Q errors improving the Image Rejection Ratio (IRR) without the need for trimming or use of power-hungry discrete components. Hardware complexity is minimal, requiring only two complex coefficients; hence it can be easily integrated into the signal processing path of any receiver. Si… Show more

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Cited by 15 publications
(18 citation statements)
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“…The DIRP acts as a decorrelator separating the desired channel and the image channel. Detailed design and performance analysis of this is covered in [8].…”
Section: Adaptive Image Rejection Receivermentioning
confidence: 99%
See 1 more Smart Citation
“…The DIRP acts as a decorrelator separating the desired channel and the image channel. Detailed design and performance analysis of this is covered in [8].…”
Section: Adaptive Image Rejection Receivermentioning
confidence: 99%
“…However, hybrid and digital solutions have also been reported in the literature which attempts to improve IRR [1] - [8]. An unsupervised adaptive self-calibrating image rejection receiver was proposed and its performance evaluated in [8] utilising the Digital Image Rejection Processor (DIRP). This paper deals with efficient low-complexity, low-power implementation of this adaptive self-calibrating image rejection receiver.…”
Section: Introductionmentioning
confidence: 99%
“…However, as shown before this is not the case in the presence of RF impairments. Interestingly not only the desired channel is recovered but also the interfering adjacent channel [16].…”
Section: B Signal Model For Low-if Receiversmentioning
confidence: 99%
“…RF-impairments have been eliminated. Furthermore, the proposed approach was proven to work under multi-path and fading environments as well as slow and fast varying phase and gain errors and low signal-to-noise ratios [15], [16]. III.…”
Section: B Signal Model For Low-if Receiversmentioning
confidence: 99%
“…Our proposed solution to mitigate analog impairments is the Digital Impairment Mitigation Block (DIMB) [11], [14]. which is based on blind source separation by adaptive algorithms.…”
Section: Digital Impairment Mitigation Blockmentioning
confidence: 99%