A Two-stage approach to harmonic rejection mixing using blind interference cancelling

Current analog harmonic rejection mixers typically provide 30–40 dB of harmonic rejection, which is often not sufficient. We present a mixed analog-digital approach to harmonic rejection mixing that uses a digital interference canceler to reject the strongest interferer. Simulations indicate that, given a practical RF scenario, the digital canceler is able to improve the signal-to-interference ratio by 30–45 dB

Circuits and architectures for broadband spectrum channelizers with sub-band gain control

Broadband receiver architectures for full-band or concurrent multi-band reception of signals are required in several applications. One approach to implementing such receivers is a spectrum channelizer that employs a frequency-folded analog-to-digital converter (FF-ADC). The design downconverts and channelizes a broadband input signal into multiple sub-bands at baseband by employing the harmonics of non-overlapping rectangular clocks. The downconverted and aliased baseband signal in each path is digitized by a baseband ADC, referred to as a sub-ADC below, that operates with a sampling rate that is lower than the Nyquist sampling rate set by the full bandwidth of the input signal. Sub-band separation is performed through digital harmonic rejection (HR) and image rejection (IR). The design operates similar to a time-interleaved ADC, except that it significantly reduces the bandwidth requirement of the samplers. If rectangular pulse waveforms are used in the FF-ADC down-converter, all sub-bands experience nearly equal gain during frequency down-conversion. Since all sub-bands are aliased to baseband before they are separated in the digital domain, a sub-band with large relative power can reduce the sub-ADC dynamic range that is available for other sub-bands, in addition to appearing as a blocker for other sub-bands. The research presented in this dissertation addresses approaches to overcome this issue, by embedding sub-band gain control within an FF-ADC. Chapter 2 proposes an approach that employs pulse-width-modulated local oscillator (PWM-LO) waveforms in the polyphase paths of an FF-ADC for scaling individual sub-band signal levels at baseband before digitization. The PWM-LO waveforms, which directly drive switches in each path, can be used to vary the gain in each sub-band by varying the level of harmonics in the waveforms. This is achieved by controlling the pulse-widths of the PWM-LO waveforms. This design avoids the requirement for N ×N switch matrices and variable transconductance cells in prior demonstrated approaches. The proposed architecture makes it possible to vary the spectral response of the FF-ADC with low signal-path complexity. Prediction of pulse widths for the desired harmonic, and hence the gain profile across all sub-bands, is performed using an off-chip supervised learning approach employing a neural network. Chapter 3 presents the implementation of a spectrum channelizer employing the PWM-LO-based sub-band amplitude control. The design allows for scaling the relative gain of the sub-bands over a 20-dB range. This relaxes the compression performance of the channelizer baseband and the sub-ADC dynamic range in the presence of sub-bands with significantly higher signal levels. Gain control on individual sub-bands is performed by employing customized PWM-LO waveforms,where the PWM-LO pulses are generated using delay-locked loops (DLLs). The off-chip neural-network based learning technique for estimating the PWM symbol pulse widths required for setting the desired LO harmonic levels is described. A 1.6 GS/s spectrum channelizer IC is implemented in a 65-nm CMOS process to verify the architecture. The measured channelizer gain is 51.6-56.5 dB without gain scaling and provides a range of 37-59 dB with PWM-LO gain control. Gain-scaling at a specific harmonic improves blocker compression in an unattenuated sub-band from -34 dBm to -16 dBm. The in-band gain compression with gain-scaling also increases from -32 dBm to -17 dBm. Chapter 4 describes a spectrum channelizer that uses voltage-mode downconversion. The approach requires a single voltage-mode input amplifier to drive the downconversion switches. Frequency-folding and sub-band gain control are achieved in a single signal path. This contrasts with the current-mode approach that requires a main FF-ADC path and a separate auxiliary path for sub-band gain control. By avoiding the requirement for an auxiliary input path, the approach presented here significantly simplifies the signal chain with identical gain-scaling capability. The contributions of this research and scope for future related work are summarized in Chapter 5.Electrical and Computer Engineerin

Four-element phased-array beamformers and a self-interference canceling full-duplex transciver in 130-nm SiGe for 5G applications at 26 GHz

This thesis is on the design of radio-frequency (RF) integrated front-end circuits for next generation 5G communication systems. The demand for higher data rates and lower latency in 5G networks can only be met using several new technologies including, but not limited to, mm-waves, massive-MIMO, and full-duplex. Use of mm-waves provides more bandwidth that is necessary for high data rates at the cost of increased attenuation in air. Massive-MIMO arrays are required to compensate for this increased path loss by providing beam steering and array gain. Furthermore, full duplex operation is desirable for improved spectrum efficiency and reduced latency. The difficulty of full duplex operation is the self-interference (SI) between transmit (TX) and receive (RX) paths. Conventional methods to suppress this interference utilize either bulky circulators, isolators, couplers or two separate antennas. These methods are not suitable for fully-integrated full-duplex massive-MIMO arrays. This thesis presents circuit and system level solutions to the issues summarized above, in the form of SiGe integrated circuits for 5G applications at 26 GHz. First, a full-duplex RF front-end architecture is proposed that is scalable to massive-MIMO arrays. It is based on blind, RF self-interference cancellation that is applicable to single/shared antenna front-ends. A high resolution RF vector modulator is developed, which is the key building block that empowers the full-duplex frontend architecture by achieving better than state-of-the-art 10-b monotonic phase control. This vector modulator is combined with linear-in-dB variable gain amplifiers and attenuators to realize a precision self-interference cancellation circuitry. Further, adaptive control of this SI canceler is made possible by including an on-chip low-power IQ downconverter. It correlates copies of transmitted and received signals and provides baseband/dc outputs that can be used to adaptively control the SI canceler. The solution comes at the cost of minimal additional circuitry, yet significantly eases linearity requirements of critical receiver blocks at RF/IF such as mixers and ADCs. Second, to complement the proposed full-duplex front-end architecture and to provide a more complete solution, high-performance beamformer ICs with 5-/6- b phase and 3-/4-b amplitude control capabilities are designed. Single-channel, separate transmitter and receiver beamformers are implemented targeting massive- MIMO mode of operation, and their four-channel versions are developed for phasedarray communication systems. Better than state-of-the-art noise performance is obtained in the RX beamformer channel, with a full-channel noise figure of 3.3 d

Nonlinear Distortion in Wideband Radio Receivers and Analog-to-Digital Converters: Modeling and Digital Suppression

Emerging wireless communications systems aim to flexible and efficient usage of radio spectrum in order to increase data rates. The ultimate goal in this field is a cognitive radio. It employs spectrum sensing in order to locate spatially and temporally vacant spectrum chunks that can be used for communications. In order to achieve that, flexible and reconfigurable transceivers are needed. A software-defined radio can provide these features by having a highly-integrated wideband transceiver with minimum analog components and mostly relying on digital signal processing. This is also desired from size, cost, and power consumption point of view. However, several challenges arise, from which dynamic range is one of the most important. This is especially true on receiver side where several signals can be received simultaneously through a single receiver chain. In extreme cases the weakest signal can be almost 100 dB weaker than the strongest one. Due to the limited dynamic range of the receiver, the strongest signals may cause nonlinear distortion which deteriorates spectrum sensing capabilities and also reception of the weakest signals. The nonlinearities are stemming from the analog receiver components and also from analog-to-digital converters (ADCs). This is a performance bottleneck in many wideband communications and also radar receivers. The dynamic range challenges are already encountered in current devices, such as in wideband multi-operator receiver scenarios in mobile networks, and the challenges will have even more essential role in the future.This thesis focuses on aforementioned receiver scenarios and contributes to modeling and digital suppression of nonlinear distortion. A behavioral model for direct-conversion receiver nonlinearities is derived and it jointly takes into account RF, mixer, and baseband nonlinearities together with I/Q imbalance. The model is then exploited in suppression of receiver nonlinearities. The considered method is based on adaptive digital post-processing and does not require any analog hardware modification. It is able to extract all the necessary information directly from the received waveform in order to suppress the nonlinear distortion caused by the strongest blocker signals inside the reception band.In addition, the nonlinearities of ADCs are considered. Even if the dynamic range of the analog receiver components is not limiting the performance, ADCs may cause considerable amount of nonlinear distortion. It can originate, e.g., from undeliberate variations of quantization levels. Furthermore, the received waveform may exceed the nominal voltage range of the ADC due to signal power variations. This causes unintentional signal clipping which creates severe nonlinear distortion. In this thesis, a Fourier series based model is derived for the signal clipping caused by ADCs. Furthermore, four different methods are considered for suppressing ADC nonlinearities, especially unintentional signal clipping. The methods exploit polynomial modeling, interpolation, or symbol decisions for suppressing the distortion. The common factor is that all the methods are based on digital post-processing and are able to continuously adapt to variations in the received waveform and in the receiver itself. This is a very important aspect in wideband receivers, especially in cognitive radios, when the flexibility and state-of-the-art performance is required

Configurable circuits and their impact on multi-standard RF front-end architectures

This thesis studies configurable circuits and their impact on multi-standard RF front-end architectures. In particular, low-voltage low-power linear LNA and mixer topologies suitable for implementation in multi-standard front-ends are subject of the investigation. With respect to frequency and bandwidth, multi-standard front-ends can be implemented using either tunable or wideband LNA and mixer topologies. Based on the type of the LNA and mixer(s), multi-standard receiver RF front-ends can be divided into three groups. They can be (tunable) narrow-band, wide-band or combined. The advantages and disadvantages of the different multi-standard receiver RF front-ends have been discussed in detail. The partitioning between off-chip selectivity, on-chip selectivity provided by the LNA and mixer, linearity, power consumption and occupied chip area in each multi-standard RF front-end group are thoroughly investigated. A Figure of Merit (FOM) for the multi-standard receiver RF front-end has been introduced. Based on this FOM the most suitable multi-standard RF front-end group in terms of cost-effectiveness can be selected. In order to determine which multi-standard RF front-end group is the most cost-effective for a practical application, a GSM850/E-GSM/DCS/PCS/Bluetooth/WLANa/b/g multi-standard receiver RF front-end is chosen as a demonstrator. These standards are the most frequently used standards in wireless communication, and this combination of standards allows to users almost "anytime-anywhere" voice and data transfer. In order to verify these results, three demonstrators have been defined, designed and implemented, two wideband RF front-end circuits in 90nm CMOS and 65nm CMOS, and one combined multi-standard RF front-end circuit in 65nm CMOS. The proposed multi-standard demonstrators have been compared with the state-of the art narrow-band, wide-band and combined multi-standard RF front-ends. On the proposed multi-standard RF front-ends and the state-of the art multi-standard RF front-ends the proposed FOM have been applied. The comparison shows that the combined multi-standard RF front-end group is the most cost effective multi-standard group for this application

Wideband CMOS Data Converters for Linear and Efficient mmWave Transmitters

With continuously increasing demands for wireless connectivity, higher\ua0carrier frequencies and wider bandwidths are explored. To overcome a limited transmit power at these higher carrier frequencies, multiple\ua0input multiple output (MIMO) systems, with a large number of transmitters\ua0and antennas, are used to direct the transmitted power towards\ua0the user. With a large transmitter count, each individual transmitter\ua0needs to be small and allow for tight integration with digital circuits. In\ua0addition, modern communication standards require linear transmitters,\ua0making linearity an important factor in the transmitter design.In this thesis, radio frequency digital-to-analog converter (RF-DAC)-based transmitters are explored. They shift the transition from digital\ua0to analog closer to the antennas, performing both digital-to-analog\ua0conversion and up-conversion in a single block. To reduce the need for\ua0computationally costly digital predistortion (DPD), a linear and wellbehaved\ua0RF-DAC transfer characteristic is desirable. The combination\ua0of non-overlapping local oscillator (LO) signals and an expanding segmented\ua0non-linear RF-DAC scaling is evaluated as a way to linearize\ua0the transmitter. This linearization concept has been studied both for\ua0the linearization of the RF-DAC itself and for the joint linearization of\ua0the cascaded RF-DAC-based modulator and power amplifier (PA) combination.\ua0To adapt the linearization, observation receivers are needed.\ua0In these, high-speed analog-to-digital converters (ADCs) have a central\ua0role. A high-speed ADC has been designed and evaluated to understand\ua0how concepts used to increase the sample rate affect the dynamic performance

Identification of linear periodically time-varying (LPTV) systems

A linear periodically time-varying (LPTV) system is a linear time-varying system with the coefficients changing periodically, which is widely used in control, communications, signal processing, and even circuit modeling. This thesis concentrates on identification of LPTV systems. To this end, the representations of LPTV systems are thoroughly reviewed. Identification methods are developed accordingly. The usefulness of the proposed identification methods is verified by the simulation results. A periodic input signal is applied to a finite impulse response (FIR)-LPTV system and measure the noise-contaminated output. Using such periodic inputs, we show that we can formulate the problem of identification of LPTV systems in the frequency domain. With the help of the discrete Fourier transform (DFT), the identification method reduces to finding the least-squares (LS) solution of a set of linear equations. A sufficient condition for the identifiability of LPTV systems is given, which can be used to find appropriate inputs for the purpose of identification. In the frequency domain, we show that the input and the output can be related by using the discrete Fourier transform (DFT) and a least-squares method can be used to identify the alias components. A lower bound on the mean square error (MSE) of the estimated alias components is given for FIR-LPTV systems. The optimal training signal achieving this lower MSE bound is designed subsequently. The algorithm is extended to the identification of infinite impulse response (IIR)-LPTV systems as well. Simulation results show the accuracy of the estimation and the efficiency of the optimal training signal design

Integrated Self-Interference Cancellation for Full-Duplex and Frequency-Division Duplexing Wireless Communication Systems

From wirelessly connected robots to car-to-car communications, and to smart cities, almost every aspect of our lives will benefit from future wireless communications. While promise an exciting future world, next-generation wireless communications impose requirements on the data rate, spectral efficiency, and latency (among others) that are higher than those for today's systems by several orders of magnitude. Full-duplex wireless, an emergent wireless communications paradigm, breaks the long-held assumption that it is impossible for a wireless device to transmit and receive simultaneously at the same frequency, and has the potential to immediately double network capacity at the physical (PHY) layer and offers many other benefits (such as reduced latency) at the higher layers. Recently, discrete-component-based demonstrations have established the feasibility of full-duplex wireless. However, the realization of integrated full duplex radios, compact radios that can fit into smartphones, is fraught with fundamental challenges. In addition, to unleash the full potential of full-duplex communication, a careful redesign of the PHY layer and the medium access control (MAC) layer using a cross-layer approach is required. The biggest challenge associated with full duplex wireless is the tremendous amount of transmitter self-interference right on top of the desired signal. In this dissertation, new self-interference-cancellation approaches at both system and circuit levels are presented, contributing towards the realization of full-duplex radios using integrated circuit technology. Specifically, these new approaches involve elimination of the noise and distortion of the cancellation circuitry, enhancing the integrated cancellation bandwidth, and performing joint radio frequency, analog, and digital cancellation to achieve cancellation with nearly one part-per-billion accuracy. In collaboration with researchers at higher layers of the stack, a cross-layer approach has been used in our full-duplex research and has allowed us to derive power allocation algorithms and to characterize rate-gain improvements for full-duplex wireless networks. To enable experimental characterization of full-duplex MAC layer algorithms, a cross-layered software-defined full-duplex radio testbed has been developed. In collaboration with researchers from the field of micro-electro-mechanical systems, we demonstrate a multi-band frequency-division duplexing system using a cavity-filter-based tunable duplexer and our integrated widely-tunable self-interference-cancelling receiver