Impact of Decorrelation Techniques on Sampling Noise in Radio-Frequency Applications

Lauritzen, Keir C.; Talisa, S.H.; Peckerar, M.

doi:10.1109/tim.2009.2036344

Cited by 22 publications

(12 citation statements)

References 20 publications

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“…For the offline optimization of the predistorter, N = 10 5 randomly generated symbols are considered, as well as an oversampling factor N s = 10. The SNR of s[n] with respect to w[n] is assumed to be 65 dB, which is much lower than the SNR in state-of-the-art ADCs [8], while the SNR on the downlink is assumed to be 15 dB [20]. For the jitter generation, a phase noise bandwidth of 1 MHz has been considered [13].…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

“…Along with the transition to the digital domain, new noise sources appear. The analogto-digital converter (ADC) introduces three main types of noise: quantization noise (QN), clock jitter, and thermal noise [8]. QN can be mitigated by using a sigma-delta ADC [9] so that the residual noise can be modeled jointly with the thermal noise as zero-mean complex additive white Gaussian noise (AWGN).…”

Section: Introductionmentioning

confidence: 99%

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On-board signal predistortion for digital transparent satellites

Mazzali

Ottersten

2015

2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

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Abstract-On-board processing (OBP), a paradigm that allows for manipulation of the signal at the satellite transponder, is being embraced by a large section of the satellite community. Exploiting OBP can lead to efficient implementation, bandwidth saving, lower redundancy, and better performance. Enabling processing aboard a satellite necessitates re-assessing the implementation of a number of signal processing techniques which, so far, have been ground-centric. In this work, we investigate the possibility of implementing signal predistortion (SPD) aboard a satellite having digital transparent processor (DTP). Such satellites employ transponders that allow for the implementation of limited functionalities in the digital domain. On-board predistortion can then be performed on the digitized data and can provide better performance compared to on-ground techniques. However, the conversion to the digital domain performed by an analogto-digital converter (ADC) introduces different types of noise. Among these, the clock jitter requires the implementation of estimation and compensation algorithms. In this paper we propose a reduced-complexity on-board signal predistortion algorithm capable of post-compensating the jitter introduced by the ADC, and pre-compensating the distortion generated by the amplifier.

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Section: Numerical Results and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On-board signal predistortion for digital transparent satellites

Mazzali

Ottersten

2015

2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

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“…We are motivated by the SNR gains achievable using multi-antenna receive diversity [7], and we consider how similar techniques can be applied to the use of parallel ADC architectures. We observe an analogy between ADC signal averaging [4], [5] and equal gain combining for multi-antenna receivers. Similarly ADC selection combining [3] is analogous to multi-antenna selection diversity.…”

mentioning

confidence: 89%

“…is an integer such that (5) Note that , where . We are now ready to calculate the quantization noise correlation coefficient (6) where denotes the expected value operation.…”

Section: Correlation Of Quantization Noisementioning

confidence: 99%

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Quantization Noise Mitigation via Parallel ADCs

Pollok

Chen

Haley

et al. 2014

IEEE Signal Process. Lett.

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In systems with parallel analogue-to-digital converters (ADC), diversity combining can improve the signal to noise ratio (SNR) of the digitised signal. We consider a novel architecture, where the parallel ADCs operate on differently attenuated signals, in conjunction with maximal ratio combining and gain weighted combining. Both schemes reduce the effective quantization noise and provide significant SNR improvements over a single ADC and signal averaging, which takes the unweighted average of the ADC output signals. The key to achieving these SNR gains is to carefully select branch attenuations that lead to negative correlation of the quantization noise across branches.

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