Enhancement of bandpass sampling efficiency in direct RF subsampling receivers: application to multiband GPS subsampling receiver

Thabet, Jihen; Barrak, Rim; Ghazel, Adel

doi:10.1109/icmcs.2014.6911176

Cited by 6 publications

(2 citation statements)

References 11 publications

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“…Another approach to reduce the cost, complexity and power consumption of multiband receivers is to use direct RF subsampling, which employs a single ADC to sample and digitize the composite, multiband RF signal [5]. In subsampling, the least sampling rate is determined by the aggregate bandwidth of the component channels, which typically is considerably less than the lowest RF carrier frequency used [6]. This has the advantage of limiting the power consumption of the ADC, which is known to increase linearly with sampling rate [7].…”

Section: Introductionmentioning

confidence: 99%

The effect of ADC resolution on concurrent, multiband, direct RF sampling receivers

Henthorn

Mohammadkhani

O’Farrell

et al. 2021

2021 IEEE Global Communications Conference (GLOBECOM)

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Connectivity using interband frequencies in 4G and 5G radio access networks, for example, carrier aggregation or dual-connectivity, incurs high receiver complexity and power consumption, in particular, when implemented using multiple radio units. Employing concurrent, multiband, direct RF sampling in a single radio chain architecture reduces the RF component count, leading to lower receiver complexity and power consumption. For this architecture, as the composite signal from multiple concurrent bands is digitized by a common analogue-to-digital converter (ADC), the bit resolution critically affects system performance. In this paper, the effect of ADC resolution on the error vector magnitude (EVM) and Block Error Rate (BLER) performance of a concurrent, multiband, direct RF sampling receiver is investigated. Simulation and hardware measurement of a tri-band Long Term Evolution (LTE) system supporting three simultaneously active channels at 888 MHz, 1.92 GHz and 2.52 GHz is evaluated when reducing the ADC resolution from 8 to 3 bits. Interband interference measurements demonstrate that the multiband, direct RF sampling, wideband LTE receiver remains 3GPP compliant at 4-bit ADC resolution with the signalto-noise-ratio (SNR) desensitization over a single-band receiver limited to 9 dB in the 888 MHz band.

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Section: Introductionmentioning

confidence: 99%

The effect of ADC resolution on concurrent, multiband, direct RF sampling receivers

Henthorn

Mohammadkhani

O’Farrell

et al. 2021

2021 IEEE Global Communications Conference (GLOBECOM)

View full text Add to dashboard Cite

show abstract

“…The bandpass sampling theory [ 23 ], which is a direct expansion of the traditional Shannon sampling theorem, has been widely applied in the fields of communication and radar signal processing [ 24 , 25 , 26 ]. In the GNSS community, the bandpass sampling theory was adopted to design a direct conversion of GNSS carrier signal [ 27 , 28 , 29 , 30 ] in order to reduce the sampling frequency of the direct RF sampling front end of GNSS receivers. However, currently mainstream commercial GNSS receivers generally employ the intermediate frequency (IF) sampling front end.…”

Section: Introductionmentioning

confidence: 99%

Low Computational Signal Acquisition for GNSS Receivers Using a Resampling Strategy and Variable Circular Correlation Time

Zhang

Wang

2018

Sensors

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For the objective of essentially decreasing computational complexity and time consumption of signal acquisition, this paper explores a resampling strategy and variable circular correlation time strategy specific to broadband multi-frequency GNSS receivers. In broadband GNSS receivers, the resampling strategy is established to work on conventional acquisition algorithms by resampling the main lobe of received broadband signals with a much lower frequency. Variable circular correlation time is designed to adapt to different signal strength conditions and thereby increase the operation flexibility of GNSS signal acquisition. The acquisition threshold is defined as the ratio of the highest and second highest correlation results in the search space of carrier frequency and code phase. Moreover, computational complexity of signal acquisition is formulated by amounts of multiplication and summation operations in the acquisition process. Comparative experiments and performance analysis are conducted on four sets of real GPS L2C signals with different sampling frequencies. The results indicate that the resampling strategy can effectively decrease computation and time cost by nearly 90–94% with just slight loss of acquisition sensitivity. With circular correlation time varying from 10 ms to 20 ms, the time cost of signal acquisition has increased by about 2.7–5.6% per millisecond, with most satellites acquired successfully.

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Generalized Bandpass Sampling Algorithm for Multiband Wireless Receivers Suitable for SDR Applications

Thabet

Barrak

Ghazel

et al. 2016

Circuits Syst Signal Process

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Enhancement of bandpass sampling efficiency in direct RF subsampling receivers: application to multiband GPS subsampling receiver

Cited by 6 publications

References 11 publications

The effect of ADC resolution on concurrent, multiband, direct RF sampling receivers

The effect of ADC resolution on concurrent, multiband, direct RF sampling receivers

Low Computational Signal Acquisition for GNSS Receivers Using a Resampling Strategy and Variable Circular Correlation Time

Generalized Bandpass Sampling Algorithm for Multiband Wireless Receivers Suitable for SDR Applications

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