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
“…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].…”
“…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.…”
Abstract-This paper deals with and details the design and implementation of a low-power; hardware-efficient adaptive self-calibrating image rejection receiver based on blind-sourceseparation that alleviates the RF analog front-end impairments. Hybrid strength-reduced and re-scheduled data-flow, low-power implementation of the adaptive self-calibration algorithm is developed and its efficiency is demonstrated through simulation case studies. A behavioral and structural model is developed in Matlab as well as a low-level architectural design in VHDL providing valuable test benches for the performance measures undertaken on the detailed algorithms and structures.
“…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].…”
“…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.…”
Abstract-This paper deals with and details the design and implementation of a low-power; hardware-efficient adaptive self-calibrating image rejection receiver based on blind-sourceseparation that alleviates the RF analog front-end impairments. Hybrid strength-reduced and re-scheduled data-flow, low-power implementation of the adaptive self-calibration algorithm is developed and its efficiency is demonstrated through simulation case studies. A behavioral and structural model is developed in Matlab as well as a low-level architectural design in VHDL providing valuable test benches for the performance measures undertaken on the detailed algorithms and structures.
“…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
Abstract-This paper provides an overview of the sources and effects of the RF impairments limiting and rendering the performance of the future wireless communication transceivers costly as well as hindering their wide-spread use in commercial products. As transmission bandwidths and carrier frequencies increase effect of these impairments worsen. This paper studies and presents analytical evaluations of the performance degradation due to the RF impairments in terms of Bit-ErrorRate and Image Rejection Ratio. The paper also give highlights of the various aspects of the research carried out in mitigating the effects of these impairments primarily in the digital signal processing domain at the baseband as well as providing lowcomplexity hardware implementations of such algorithms incorporating a number of power and area saving techniques.
“…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
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