A New Iterative Algorithm for Finding the Minimum Sampling Frequency of MultiBand Signals

Lin, Yuan-Pei; Liu, Yi-De; Phoong, See-May

doi:10.1109/tsp.2010.2054087

Cited by 13 publications

(9 citation statements)

References 16 publications

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“…Lin et al [16] have proposed an efficient algorithm to compute the minimum sampling frequency (F s,min ) required to down-convert multiple RF signals to multiple digital IFs. The algorithm avoids spectral overlap between the concurrent bands, which fall between DC and F s /2 after under-sampling.…”

Section: Analogue To Digital Convertermentioning

confidence: 99%

Tunable, concurrent multiband, single chain radio architecture for low energy 5G-RANs

O’Farrell

Singh

Bai

et al. 2017

2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

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Abstract-This invited paper considers a key next step in the design of radio architectures aimed at supporting low energy consumption in 5G heterogeneous radio access networks. Stateof-the-art mobile radios usually require one RF transceiver per standard, each working separately at any given time. Software defined radios, while spanning a wide range of standards and frequency bands, also work separately at any specific time. In 5G radio access networks, where continuous, multiband connectivity is envisaged, this conventional radio architecture results in high network power consumption. In this paper, we propose the novel concept of a concurrent multiband frequency-agile radio (CM-FARAD) architecture, which simultaneously supports multiple standards and frequency bands using a single, tunable transceiver. We discuss the subsystem radio design approaches for enabling the CM-FARAD architecture, including antennas, power amplifiers, low noise amplifiers and analogue to digital converters. A working prototype of a dual-band CM-FARAD testbed is also presented together with measured salient performance characteristics.

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Section: Analogue To Digital Convertermentioning

confidence: 99%

Tunable, concurrent multiband, single chain radio architecture for low energy 5G-RANs

O’Farrell

Singh

Bai

et al. 2017

2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

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“…However, minimum sampling frequency cannot be acquired in a closed form due to the nonlinear nature of spectrum folding in the process of sampling. In order to find a minimum useable sampling frequency, the literature [10][11][12] highlights the need to address certain BPS limitations like sparse spectrum, fixed bandwidth (BW), and unavailability of a universal rule.…”

Section: Introductionmentioning

confidence: 99%

Direct radio frequency sampling methodology for multiple signals in an energy-sparse spectrum

Ahmed¹,

Khan²

2016

Turk J Elec Eng & Comp Sci

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Abstract:In software defined radio (SDR) systems, it is desirable to down-convert multiple RF signals simultaneously by placing an analogue-to-digital converter (ADC) as near the antenna as possible. Radio frequency (RF) subsampling is one of the established methodologies used by radio receivers to directly down-convert and digitize RF signals. In this paper, we propose a novel direct RF sampling method to find out the minimum sampling frequency for an evenly spaced spectrum comprising multiband RF signals. However, it can also be applied to nonuniformly spaced signals with slight modification. The proposed methodology describes a set of rules to achieve the lowest possible sampling frequency rates without the compromise of spectrum folding or overlapping of aliases in the baseband after down-conversion. Moreover, the proposed formula is general, and flexible to the number of input signals or bands and to their positions in the desired spectrum. Simulations verify that by using the offered minimum sampling rates, the desired signal is extracted without the mentioned constraints.

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“…In general, SDR systems need to deal with signals from multiple frequency bands. Hence, the results of bandpass sampling have been extended to multiband systems, e.g., see [4]- [7]. More specifically, the authors in [4] provided solutions in finding the minimum sampling frequency.…”

Section: Introductionmentioning

confidence: 99%

“…In [6], a nonuniform bandpass sampling method was proposed for multiband systems. A new set of conditions for aliasing-free bandpass sampling were derived in [7]. Bandpass sampling was also used in multiband OFDM systems to reconstruct the baseband signals in [5].…”

Section: Introductionmentioning

confidence: 99%

Reducing jitter effects for multiband bandpass sampling systems

Chen

Tsai

2015

2015 IEEE International Conference on Digital Signal Processing (DSP)

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Multiband bandpass sampling techniques have been widely used in Soft Define Radio (SDR) systems. The performance of systems using bandpass sampling is highly affected by jitter effects. This work investigates jitter effects for multiband bandpass sampling systems, and proposes a receiver that applies a two-stage method for combating the jitter effect. At the first stage, a maximum likelihood pilot-aided algorithm is used to estimate and compensate the dominated jitter. Then, at the second stage, we exploit the oversampled property of the received signal and propose a decimate-and-average scheme to further mitigate the residual jitter effect. Simulation results show that the proposed system can significantly reduce the jitter effect. 978-1-4799-8058-1/15/$31.00 ©2015 IEEE

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A New Iterative Algorithm for Finding the Minimum Sampling Frequency of MultiBand Signals

Cited by 13 publications

References 16 publications

Tunable, concurrent multiband, single chain radio architecture for low energy 5G-RANs

Tunable, concurrent multiband, single chain radio architecture for low energy 5G-RANs

Direct radio frequency sampling methodology for multiple signals in an energy-sparse spectrum

Reducing jitter effects for multiband bandpass sampling systems

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