A concurrent quadrature sub-sampling mixer for multiband receivers

Heragu, Aravind; Balasubramanian, Viswanathan; Enz, Christian

doi:10.1109/ecctd.2009.5274924

Cited by 9 publications

(6 citation statements)

References 5 publications

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“…Out of the eight sampling paths, four are used to downconvert a Bluetooth channel to baseband in quadrature while two other paths are used to downconvert MICS band to an intermediate frequency of f s /2. Due to the initial transients caused by periodic switching of capacitors across the inductor, the maximum sampling rate gets fixed by the settling time required for these transients to die down [3]. So the sampling frequency thus chosen cannot be more than this maximum sampling rate.…”

Section: B Rf Concurrent Sampling Mixermentioning

confidence: 98%

“…If the jitter is very less compared to the settling time as defined in [3], the variation in the samples is insignificant and this thus provides an immunity to clock jitter. The second stage of sampling is not as sensitive as the first stage owing to the fact that the first stage filters and samples a RF signal while the second stage reads an already sampled value.…”

Section: Clock Jittermentioning

confidence: 98%

“…This shall decide the sampling frequency. It can be shown that direct downconversion to baseband in quadrature requires four sampling paths with a time difference of T s /4 between the samples of adjacent paths [3]. The corresponding phase difference is,…”

Section: A Choosing the Sampling Frequencymentioning

confidence: 99%

“…Bound by the limited energy sources available, the transceivers for these patches must be highly power efficient. In our earlier work [3] we had proposed a sub-sampling based quadrature direct downconversion mixer which is capable of downconverting two bands concurrently to baseband in quadrature. This circuit is a suitable candidate for the receiver to be employed on the on-body patch.…”

Section: Introductionmentioning

confidence: 99%

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A multiband concurrent sampling based RF front end for biotelemetry applications

Heragu

Balasubramanian

Enz

2010

Proceedings of 2010 IEEE International Symposium on Circuits and Systems

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A sub-sampling based multiband RF front end suitable for medical telemetry applications is presented. Using a single inductor and a single sampling frequency it is shown how to downconvert concurrently Bluetooth LE and MICS band signals to baseband with relative attenuation of 42 dB between the two downconverted bands. The proposed front end is analyzed in detail and the results are validated using Spectre RF simulations for a 0.18µm CMOS process.

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Section: B Rf Concurrent Sampling Mixermentioning

confidence: 98%

Section: Clock Jittermentioning

confidence: 98%

Section: A Choosing the Sampling Frequencymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A multiband concurrent sampling based RF front end for biotelemetry applications

Heragu

Balasubramanian

Enz

2010

Proceedings of 2010 IEEE International Symposium on Circuits and Systems

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“…Therefore, a single mixer with multiple operational bands will be beneficial. 68,69 Similar work proposed mixers operating in dual bands by utilizing capacitive tuning for multiband operation and attaining a high IRR. 69 Noise-canceling designs were proposed by utilizing current bleeding and transistor-based attenuation 30 to attain high CG and low NF.…”

Section: Concurrent Mixersmentioning

confidence: 99%

Recent advancement in the design of mixers for software‐defined radios

Mehta

Donelli

2021

Int J RF Mic Comp-Aid Eng

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The implementation of software-defined radio necessitates a versatile radio frequency (RF) front-end that can support multiple standards in different frequency bands. This article presents the state-of-the-art multiband and wideband mixers in the context of different receiver architectures suitable for softwaredefined radio (SDR). Wideband and multiband mixer designs reported in the literature are categorized on the basis of their circuit architecture. This study tabulates the results of mixer designs with an emphasis on noise figure (NF), conversion gain (CG), linearity, and image rejection ratio. The best parameters reported in the comparison are 68-84 dB of CG, 3.2 dB of NF, 2.5 mW of power consumption, 12.5 dBm of third-order input intercept point, and 0.015 mm 2 of area at different frequencies. The study also discusses the design challenges and techniques to overcome those issues. The article concludes with the summary and prospective developments for SDR architectures.

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