A 5-GHz 108-Mb/s 2$\times$2 MIMO Transceiver RFIC With Fully Integrated 20.5-dBm ${\rm P}_{\rm 1dB}$ Power Amplifiers in 90-nm CMOS

Palaskas, Y.; Ravi, Ashoke; Pellerano, Stefano; Carlton, Brent; Elmala, M.; Bishop, R.; Banerjee, Gaurab; Nicholls, R.B.; Ling, S.; Dinur, N.; Taylor, S.S.; Soumyanath, K.

doi:10.1109/jssc.2006.884795

Cited by 73 publications

(33 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It was shown in [6] that STBCs are tolerant of correlation levels of up to 0.7. It was further shown in [9] that transmitter isolations of < -20 dB are sufficient. The measured constellation for 3-antennas is shown in Fig.…”

Section: Measured Resultsmentioning

confidence: 99%

A 4-antenna transmitter in 0.18µm CMOS using space-time block codes

Neihart

Cheng

Walling

et al. 2009

2009 IEEE Radio Frequency Integrated Circuits Symposium

View full text Add to dashboard Cite

Efficient power delivery is a challenge in many RF systems. The use of space-time block codes as a means for reducing the required output power of the power amplifier and thereby improving the system efficiency is described. The first implementation of a fully-integrated 4-antenna transmitter based on space-time block codes is described. It is fully configurable as a 1-, 2-, 3-, and 4-antenna system to investigate the tradeoffs between space-time block code length and overall system efficiency. It is shown that the measured optimum is a 3-antenna system capable of delivering +27.7 dBm into a 50 Ω load using three class-AB power amplifier cells each delivering +20 dBm into 50 Ω with a PAE of 23%. Owing to the space-time block coding gain, the overall PAE of the 3-channel transmitter delivering +27.7 dBm is 39%. The system is intenerated in 0.18µm CMOS and measures 4mm x 6mm.

show abstract

Section: Measured Resultsmentioning

confidence: 99%

A 4-antenna transmitter in 0.18µm CMOS using space-time block codes

Neihart

Cheng

Walling

et al. 2009

2009 IEEE Radio Frequency Integrated Circuits Symposium

View full text Add to dashboard Cite

show abstract

“…The transmitter is excited with 64-QAM signals using two R&S SMBV100A vector signal generators (VSGs) with PAPR of 7.5 dB and RMS power level of -7 dBm. The transmitter consists of two ZVE-8G+ PAs placed between two coupling stages used for introducing crosstalk effects [8]. The ZVE-8G+ PAs have a gain of 30 dB each and a 1-dB compression point of 30 dBm.…”

Section: Experimental Investigationmentioning

confidence: 99%

A comparative analysis of the complexity/accuracy tradeoff in the mitigation of RF MIMO transmitter impairments

Khan

Händel

Isaksson

2017

2017 89th ARFTG Microwave Measurement Conference (ARFTG)

View full text Add to dashboard Cite

Abstract-This paper presents a comparative analysis of the complexity accuracy tradeoff in state-of-the-art RF MIMO transmitter mitigation models. The complexity and accuracy of the candidate models depends on the basis functions considered in these models. Therefore, a brief description of the mitigation models is presented accompanied by derivations of the model complexities in terms of the number of FLOPs. Consequently, the complexity accuracy tradeoff in the candidate models is evaluated for a 2 × 2 RF MIMO transmitter. Furthermore, the model complexities are analyzed for increasing nonlinear orders and number of antennas.I. INTRODUCTION RF MIMO transmitters are the contemporary technology in wireless communication for achieving high date rate capacities. However, an energy efficient operation of RF MIMO transmitters results in hardware impairments that are more severe than SISO transmitter impairments. This severity is caused by additional distortion effects such as crosstalk between the MIMO transmission paths [1].Several mitigation models for SISO transmitter impairments have been proposed in literature [2]. Given an infinite order and complexity, these models can achieve a good error performance. However, at a given finite complexity, only part of the accuracy can be achieved [2]. Hence, it is necessary to analyze the complexity accuracy tradeoff in these models to get a complete picture of their effectiveness.The complexity of SISO RF transmitter mitigation models is often determined based on the number of parameters which can be determined form the nonlinear order and memory. However, this representation may not always be an appropriate measure for complexity since mitigation models for RF transmitters are implemented on digital signal processing (DSP) hardware [3]. The computational resources of such digital platforms are predominantly allocated for performing additions, subtractions and multiplications for which the number of floating point of operations (FLOPs) is an accurate measure and not the number of parameters. Hence, a complexity accuracy tradeoff analysis for SISO transmitter mitigation models in terms of the number of FLOPs has been presented in [3].Transitioning to RF MIMO transmitters, several mitigation models have also been proposed based on the MIMO Volterra series [4]. For example, the MIMO parallel Hammerstein (PH) model [5], the MIMO memory polynomial (MP) model [6] and the generalized (GMP) and extended generalized MIMO memory polynomial models (EGMP) [7]. These models incorporate higher complexity basis functions to account for the additional

show abstract

“…In this paper, we consider a scenario that a single target emitter with multiple transmit antennas, and since the RF front-ends of all the antennas likely share the same design [11], [12], the nonlinear properties of the transmit antennas are assumed identical throughout this paper. The channel and the nonlinearity properties are assumed the same during the estimation process.…”

Section: Problem Statementmentioning

confidence: 99%

Wireless device identification in MIMO channels

Liu

Doherty

2009

2009 43rd Annual Conference on Information Sciences and Systems

View full text Add to dashboard Cite

A data-aided iterative algorithm to estimate the nonlinearities of wireless emitters for Specific emitter Identification (SEI) is presented. To achieve robust estimation, Inter Symbol Interference (lSI) is removed by iteratively estimating the channel coefficients and nonlinear transmit symbols to achieve asymptotically unbiased estimation. The complexity of the iteration procedure is further reduced by increasing the step size of the iteration result. The algorithm is applicable to various communication systems where multiple amplitude level schemes are used such as QAM, OFDM, and PAM in MultipleInput Multiple-Output (MIMO) channels. Numerical results are shown which achieve nonlinearity estimation and radio emitter identification over empirical channel models using an Orthogonal Frequency Division Multiplexing (OFDM) MIMO system.

show abstract

A 5-GHz 108-Mb/s 2$\times$2 MIMO Transceiver RFIC With Fully Integrated 20.5-dBm ${\rm P}_{\rm 1dB}$ Power Amplifiers in 90-nm CMOS

Cited by 73 publications

References 16 publications

A 4-antenna transmitter in 0.18µm CMOS using space-time block codes

A 4-antenna transmitter in 0.18µm CMOS using space-time block codes

A comparative analysis of the complexity/accuracy tradeoff in the mitigation of RF MIMO transmitter impairments

Wireless device identification in MIMO channels

Contact Info

Product

Resources

About

A 5-GHz 108-Mb/s 2$\times$2 MIMO Transceiver RFIC With Fully Integrated 20.5-dBm ${\rm P}_{\rm 1dB}$ Power Amplifiers in 90-nm CMOS

Cited by 73 publications

References 16 publications

A 4-antenna transmitter in 0.18&#x00B5;m CMOS using space-time block codes

A 4-antenna transmitter in 0.18&#x00B5;m CMOS using space-time block codes

A comparative analysis of the complexity/accuracy tradeoff in the mitigation of RF MIMO transmitter impairments

Wireless device identification in MIMO channels

Contact Info

Product

Resources

About

A 4-antenna transmitter in 0.18µm CMOS using space-time block codes

A 4-antenna transmitter in 0.18µm CMOS using space-time block codes