Dissertations / Theses on the topic 'IQ imbalance'

Direct-Down Conversion (DDC) principle based transceiver architectures are of interest to meet the diverse needs of present and future wireless systems. DDC transceivers have a simple structure with fewer analog components and offer low-cost, flexible and multi-standard solutions. However, DDC transceivers have certain circuit impairments affecting their performance in wide-band, high data rate and multi-user systems. IQ imbalance is one of the problems of DDC transceivers that limits their image rejection capabilities. Compensation techniques for frequency independent IQI arising due to gain and phase mismatches of the mixers in the I/Q paths of the transceiver have been widely discussed in the literature. However for wideband multi-channel transceivers, it is becoming increasingly important to address frequency dependent IQI arising due to mismatches in the analog I/Q lowpass filters. A hardware-efficient and standard independent digital estimation and compensation technique for frequency dependent IQI is introduced which is also capable of tracking time-varying IQI changes. The technique is blind and adaptive in nature, based on the second order statistical properties of complex random signals such as properness/circularity. A detailed performance analysis of the introduced technique is executed through computer simulations for various real-time operating scenarios. A novel technique for finding the optimal number of taps required for the adaptive IQI compensation filter is proposed and the performance of this technique is validated. In addition, a metric for the measure of properness is developed and used for error power and step size analysis.
Master of Science

This Master’s thesis subject is communication link modeling, what means exploring and subsequent connect of blocks QPSK modulator – raised cosine filter – quadrature modulator – nonlinear amplifier – quadrature demodulator – raised cosine filter – QPSK detector. All work proceeded in simulation world VisSim 6.0, manual of this software is opened in this thesis. Individual blocks are analyzed in this scheme including description and configuration. Main theme was exploring error rate of transmission in modulator imbalance, using nonlinear amplifier TWTA or in calculations in fixed and floating point. Theoretically is examined and practically implanted method of modulator imbalance compensation. Circuits with QPSK and 16QAM modulator were analyzed. Circuits are filled in with transparent tables and graphs. In the end of this thesis is applied to generating of source codes in C language by the help of upgrade C-Code, which can be useful in practical realization on DSP.

Specific Emitter Identification (SEI) is the association of a received signal to an emitter, and is made possible by the unique and unintentional characteristics an emitter imparts onto each transmission, known as its radio frequency (RF) fingerprint. SEI systems are of vital importance to the military for applications such as early warning systems, emitter tracking, and emitter location. More recently, cognitive radio systems have started making use of SEI systems to enforce Dynamic Spectrum Access (DSA) rules. The use of pre-determined and expert defined signal features to characterize the RF fingerprint of emitters of interest limits current state-of-the-art SEI systems in numerous ways. Recent work in RF Machine Learning (RFML) and Convolutional Neural Networks (CNNs) has shown the capability to perform signal processing tasks such as modulation classification, without the need for pre-defined expert features. Given this success, the work presented in this thesis investigates the ability to use CNNs, in place of a traditional expert-defined feature extraction process, to improve upon traditional SEI systems, by developing and analyzing two distinct approaches for performing SEI using CNNs. Neither approach assumes a priori knowledge of the emitters of interest. Further, both approaches use only raw IQ data as input, and are designed to be easily tuned or modified for new operating environments. Results show CNNs can be used to both estimate expert-defined features and to learn emitter-specific features to effectively identify emitters.
Master of Science

In this thesis, a parsimoniously parameterized digital predistorter is derived for linearization of the IQ modulation mismatch and the amplifier imperfection in the signal generator [1]. It is shown that the resulting predistorter is linear in its parameters, and thus they may be estimated by the method of least-squares. Spectrally pure signals are an indispensable requirement when the signal generator is to be used as part of a test bed. Due to the non-linear characteristic of the IQ modulator and power amplifier, distortion will be present at the output of the signal generator. The device under test was the IQ modulation mismatch and power amplifier deficiencies in the signal generator.

In [2], the dynamic range of low-cost signal generators are improved by employing model based digital pre-distortion and the designed predistorter seems to give some improvement of the dynamic range of the signal generator.

The goal of this project is to implement and verify the theory parts [1] using data program (Matlab) to improve the dynamic range of the signal generator. The design digital pre-distortion that is implemented in software so that the dynamic range of the signal generator output after predistortion is superior to that of the output prior to it. In this project, we have observed numerical problems in the proposed theory and we have found other methods to solve the problem.

The polynomial model is commonly used in power amplifier modeling and predistorter design. However, the conventional polynomial model exhibits numerical instabilities when higher order terms are included, we have used the conventional and orthogonal polynomial models. The result shows that the orthogonal polynomial model generally yield better power amplifier modeling accuracy as well as predistortion linearization performance then the conventional polynomial model.

Due to the increasing demand of broadband capability and reconfigurability for mobile applications, there is an enormous interest to develop appropriate analog receiver front-ends. In this respect, one promising candidate group is the Six-Port-based direct conversion receiver. The presented work focuses on the investigation of Six-Port-based mobile receiver front-ends with their specific systematical signal processing. Thereby, issues of spurious interfering signals which are generated within the down conversion process of such receivers are of special interest. Based on a comprehensive description of the analog signal processing within additive frequency conversion, a reason could be identified why existing Six-Port receivers have not found any practical application in mobile communication yet – the dynamic DC-offset. With this insight compensation techniques were developed to overcome the negative influences of the dynamic DC-offset. Furthermore, this work presents novel Six-Port-based receiver architectures which, on the one hand, keep the advantages of additive mixing systems like: low power consumption, broadband capability and simplicity of implementation especially for mm-wave transmissions. On the other hand, these novel architectures comprise compensation techniques such that systematically generated spurious signals are inherently compensated in the analog part of the receiver. Moreover, the influence of impairments of phase and amplitude within the IQ-branches of a receiver was investigated. The resulting, unwanted IQ-imbalance was shown to be a mixing method (multiplicative or additive) independent spurious effect. It is suggested to compensate for IQ-imbalance in the digital part of the receiver system. This can be realized with the use of adaptive algorithms. The comparison with conventional analog receiver architectures (especially homodyne receivers) with respect to the reception of today’s and future digitally modulated transmission signals indicate the proposed Six-Port-based receiver architectures to be suitable candidates to fulfill the difficult tasks of modern mobile communication.

Due to the increasing demand of broadband capability and reconfigurability for mobile applications, there is an enormous interest to develop appropriate analog receiver front-ends. In this respect, one promising candidate group is the Six-Port-based direct conversion receiver. The presented work focuses on the investigation of Six-Port-based mobile receiver front-ends with their specific systematical signal processing. Thereby, issues of spurious interfering signals which are generated within the down conversion process of such receivers are of special interest. Based on a comprehensive description of the analog signal processing within additive frequency conversion, a reason could be identified why existing Six-Port receivers have not found any practical application in mobile communication yet – the dynamic DC-offset. With this insight compensation techniques were developed to overcome the negative influences of the dynamic DC-offset. Furthermore, this work presents novel Six-Port-based receiver architectures which, on the one hand, keep the advantages of additive mixing systems like: low power consumption, broadband capability and simplicity of implementation especially for mm-wave transmissions. On the other hand, these novel architectures comprise compensation techniques such that systematically generated spurious signals are inherently compensated in the analog part of the receiver. Moreover, the influence of impairments of phase and amplitude within the IQ-branches of a receiver was investigated. The resulting, unwanted IQ-imbalance was shown to be a mixing method (multiplicative or additive) independent spurious effect. It is suggested to compensate for IQ-imbalance in the digital part of the receiver system. This can be realized with the use of adaptive algorithms. The comparison with conventional analog receiver architectures (especially homodyne receivers) with respect to the reception of today’s and future digitally modulated transmission signals indicate the proposed Six-Port-based receiver architectures to be suitable candidates to fulfill the difficult tasks of modern mobile communication.

Les formats de modulation bidimensionnels (i.e. basés sur l’amplitude et la phase de l’onde porteuse) ont gagné depuis peu le domaine des transmissions par fibre optique grâce aux progrès conjoints de l’électronique rapide et du traitement du signal, indispensables pour réaliser les récepteurs opto-électroniques utilisant la détection cohérente des signaux optiques. Pour pallier les limites actuelles en rapidité de commutation des circuits intégrés électroniques, une voie de recherche a été ouverte il y a quelques années, consistant à utiliser des technologies optiques pour faciliter la parallélisation du traitement du signal, notamment dans l’étape d’échantillonnage ultra-rapide du signal rendu possible par des horloges optiques très performantes. Le thème principal de cette thèse concerne l’étude théorique et expérimentale de la fonction de conversion analogique-numérique (ADC) de signaux optiques par un récepteur opto-électronique cohérent, associant les étapes d’échantillonnage optique linéaire, de conversion analogique-numérique et de traitement du signal. Un prototype, utilisant une solution originale pour la source d’échantillonnage, est modélisé, réalisé et caractérisé, permettant la reconstruction temporelle de signaux optiques modulés selon divers formats : NRZ, QPSK, 16-QAM. Les limitations optiques et électroniques du système sont analysées, notamment l’impact sur la reconstruction des signaux de divers paramètres : le taux d’extinction de la source optique, les paramètres de l’ADC (bande passante BW, temps d’intégration et nombre effectif de bits ENOB). Par ailleurs, de nouveaux algorithmes de traitement du signal sont proposés dans le cadre de la transmission optique cohérente à haut débit utilisant des formats de modulation bidimensionnels (amplitude et phase) : deux solutions sont proposées pour la compensation du déséquilibre de quadrature IQ dans les transmissions mono-porteuses: une méthode originale de l’estimation du maximum du rapport signal sur bruit ainsi qu’une nouvelle structure de compensation et d’égalisation conjointes; ces deux méthodes sont validées expérimentalement et numériquement avec un signal 16-QAM. Par ailleurs, une solution améliorée de récupération de porteuse (décalage de fréquence et estimation de la phase), basée sur une décomposition harmonique circulaire de la fonction de maximum de vraisemblance logarithmique, est validée numériquement pour la première fois dans le contexte des transmissions optiques (jusqu’à une modulation de 128-QAM). Enfin les outils développés dans ce travail ont finalement permis la démonstration d’une transmission sur 100 km d’un signal QPSK à 10 Gbaud fortement limité par un bruit de phase non linéaire et régénéré optiquement à l’aide d’un limiteur de puissance préservant la phase basé sur une nanocavité de cristal photonique
Bi-dimensional modulation formats based on amplitude and phase signal modulation, are now commonly used in optical communications thanks to breakthroughs in the field of electronic and digital signal processing (DSP) required in coherent optical receivers. Photonic solutions could compensate for nowadays limitations of electrical circuits bandwidth by facilitating the signal processing parallelization. Photonic is particularly interesting for signal sampling thanks to available stable optical clocks. The heart of the present work concerns analog-to-digital conversion (ADC) as a key element in coherent detection. A prototype of linear optical sampling using an original solution for the optical sampling source, is built and validated with the successful equivalent time reconstruction of NRZ, QPSK and 16-QAM signals. Some optical and electrical limitations of the system are experimentally and numerically analyzed, notably the extinction ratio of the optical source or the ADC parameters (bandwidth, integration time, effective number of bits ENOB). Moreover, some new DSPs tools are developed for optical transmission using bi-dimensional modulation formats (amplitude and phase). Two solutions are proposed for IQ quadrature imbalance compensation in single carrier optical coherent transmission: an original method of maximum signal-to-noise ratio estimation (MSEM) and a new structure for joint compensation and equalization; these methods are experimentally and numerically validated with 16-QAM signals. Moreover, an improved solution for carrier recovery (frequency offset and phase estimation) based on a circular harmonic expansion of a maximum loglikelihood function is studied for the first time in the context of optical telecommunications. This solution which can operate with any kind of bi-dimensional modulation format signal is numerically validated up to 128-QAM. All the DSP tools developed in this work are finally used in a demonstration of a 10 Gbaud QPSK 100 km transmission experiment, featuring a strong non-linear phase noise limitation and regenerated using a phase preserving and power limiting function based on a photonic crystal nanocavity

碩士
國立清華大學
電機工程學系
97
Orthogonal Frequency Division Multiplexing (OFDM) is a high data-rate communica- tion system. In this high data-rate communication system, a popular problem such as IQ imbalance occurs in this system front-end. In order to remove the e®ect caused by such circuit components, we need to take some compensation schemes urgently. There have been many compensation schemes proposed, by better performance and a simple technique, we take the time-domain LMS compensation scheme into account. Comparing with the single-input single-output (SISO) OFDM system, multiple-input multiple-output (MIMO) OFDM system has great advantages and take more concerns applying in next communication generation. In our thesis, we take the time-domain LMS compensation scheme combing with the MRC algorithm for our simulation which include one transmitted antenna and two received antennas. Simulation will show great improvement dealing with the IQ imbalance for time-domain LMS compensation scheme and a great promotion for MIMO OFDM system to SISO OFDM system. Index-OFDM,MIMO, time-domain LMS, MRC, IQ imbalance.

碩士
國立中興大學
電機工程學系
93
Although the maximum transmission speed in IEEE 802.11a WLAN is 54Mbps, actually the real throughput is limited to 20~30Mbps. Except the main effect form multi-path , gradually we should consider some non-ideal effects from imperfect hardware design. For example, the IQ imbalance form direction conversion in RF front-end. IQ imbalance is not apparent in lower-order QAM modulation, but in higher-older QAM modulation it will become serious interference. In this thesis, we mainly discuss the effect and the solution of IQ imbalance, and use Matlab to simulate the whole transceiver of IEEE 802.11a including channel model. After the system verification, we use hardware description language (Verilog) to implement the compensation circuit of IQ imbalance with UMC 0.18um COMS 1p6m technology.

碩士
國立成功大學
電機工程學系碩博士班
92
There are two types of RF front-end imperfections in most communication devices, the frequency offset and the IQ imbalance, namely and respectively. The two effects can affect serious impact on performance. This study proposes a novel scheme which adopts the Least Square (LS) method to estimate the IQ imbalance when the frequency offset effect exists by using a preamble of repeated training sequence. An analogous scheme to estimate the frequency offset was also developed in this study when the IQ imbalance effect exists. These proposed schemes were applied in IEEE 802.11a standard and validated their performance by simulation.

碩士
國立交通大學
電信工程研究所
100
Multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems are often realized with direct-conversion architectures for higher throughput and lower power consumption. However, such systems suffer in radio-frequency (RF) impairments such as in-phase/quadrature-phase (IQ) imbalance (IQI) and phase noise (PN) which significantly degrade the performance of communication systems. In this thesis, we propose an iterative method to compensate IQI and PN in MIMO-OFDM systems. We exploit preamble and pilot symbols to estimate the channel, IQI and PN effects, and utilize the estimated value and expectation-maximization (EM) algorithm for eliminating the impairments. The channel effect and PN can be estimated further with the iterative scheme and then fed back to the compensator to compensate the IQI again. We show by simulations that improvement in performance is possible with the proposed iterative method. When the effects of RF impairments are alleviated, the design of RF and analog circuitry can be greatly simplified.

碩士
國立臺灣大學
電機工程學研究所
96
OFDM modulation has been adopted in many wireless communications systems such as IEEE 802.11a/g/n, IEEE 802.16a/e, DVB-T/H, etc. Although OFDM has many advantages for wireless communications, its receivers are quite sensitive to front-end imperfection, such as IQ imbalance and phase noise. These effects oftentimes cause significant degradation in receiver error rate performance. With rapid advance in VLSI technology, the gap in performance/complexity/cost between digital and analog circuit is getter wider. This trend will become more significant in the future. Therefore, using digital calibration and compensation to mitigate the effect of imperfection in analog circuits is getting more and more popular. This thesis provides several digital baseband processing estimation and compensation schemes for impairments from receiver analog front-ends, specifically IQ imbalance and phase noise. Two different scenarios are considered: IQ imbalance and phase noise occur at the receiver only and there exist IQ imbalance and phase noise in both the transmitter and the receiver. In both cases, the proposed solution can effectively mitigate the impairments and relax the required specifications on the receiver analog frontends.

碩士
國立臺灣大學
電信工程學研究所
94
Nowadays, a lot of effort is spent on developing inexpensive OFDM receivers. Especially, zero-IF receivers are very appealing, because they avoid costly IF filters. However, zero-IF front-ends also introduce significant additional front-end distortion, such as IQ imbalance. Unfortunately, OFDM is very sensitive to nonidealities (IQ imbalances) in the receiver front-end. An important effect of IQ imbalances is that achievable BER saturates as the SNR increases, suggesting that the system’s performance at high SNR will be dominated by the IQ imbalances rather than the operating SNR. In this thesis, the effect of IQ imbalances on OFDM receivers is studied, and a framework for deriving OFDM receivers with IQ imbalance correction in the digital domain was presented. We propose three new schemes for joint IQ imbalance compensation and channel estimation. Previous method is sensitive to channels with nonflat frequency response. Besides leading to performance enhancements, our approaches are robust against channels with highly nonflat frequency response with low complexity. Additionally, one or two OFDM training block provides sufficient information to accurately estimate the IQ imbalances and the channel response, allowing to shorten the training time. Therefore, our methods greatly relaxes the mismatch specifications and thus enable zero-IF receivers employing cheap analog components.

碩士
義守大學
電子工程學系碩士班
94
High rate wireless communication systems require the design of low-cost radio transceivers with low power. The direct conversion receivers which convert the radio frequency (RF) directly to baseband have thus been the subject of active investigation in recent years. However, in orthogonal frequency division multiplexing (OFDM) such architectures introduce certain design challenges of their own, namely DC offsets as well as gain and phase mismatches in the in-phase and quadrature paths. In the radio receiver front end is by direct down converting the desired radio frequency signal to baseband using the costas phase-locked-loop, the receiver is in synchronization with the received carrier. In this thesis, the bandpass sampling mixer are used to replace the analog mixer in the analog costas phase-locked-loop. Then, a digital costas phase-locked-loop which using bandpass sampling mixer have be proposed. By computer simulation, the performance of the digital phase-locked-loop is compared with that of analog phase-locked-loop. Finally, the digital costas phase-locked-loop is applied to the 40KHz ultrasonic system. Both computer simulations and experiment results verify the effectiveness of the proposed scheme.

碩士
國立臺灣大學
電信工程學研究所
107
Orthogonal Frequency Division Multiple Access (OFDMA) has already been widely adopted in many communication standards. However, the OFDM-based systems are sensitive to front-end non-idealities from the direct conversion transceiver. In this thesis, we focus on the in-phase and quadrature imbalance (IQI) and carrier frequency offset (CFO). The IQI leads to the image interference and the CFO destroys the orthogonality among the subcarriers. These effects will result in inter-carrier interference (ICI) and multiple-access interference (MAI). So the estimation and compensation are crucial for OFDMA systems. Most existing IQI estimation methods in the OFDMA systems are mainly focused on receiver (Rx) IQI. There are relatively few researches on Tx IQI. In this theses, we introduce a new joint Tx/Rx IQI and channel estimation method. Our proposed method can work for any pilot patterns and it can be applied to arbitrary carrier assignment scheme (CAS). Moreover, only one OFDM symbol is needed. We also extend the proposed method to pilot-based transmission where pilots and data are sent in one OFDM symbol. The joint estimation of CFO, IQI and channel is also considered. Both frequency independent (FI) and frequency dependent (FD) IQI are studied. Numerical simulations are carries out to show the performance in different scenarios.

碩士
國立中央大學
通訊工程研究所
99
Orthogonal Frequency Division Multiplexing (OFDM) is a widely used technique in the physical layer of modern communication system. Unfortunately,OFDM system is sensitive to imperfect synchronization and non-ideal front-end effects such as IQ Imbalance, DC Offset and carrier frequency offset, leading to serve system performance degradation. In this thesis, we consider recovering the WLAN OFDM signals in the presence of these imperfect conditions, we propose least-square (LS) equalization for Joint IQ Imbalance and carrier frequency offset estimation. From computer simulation results, the proposed algorithm has better performance than existing algorithms. Finally, the VHDL Design is used to verity the feasibility in electric circuit structure.

碩士
國立中山大學
電機工程學系研究所
98
Orthogonal frequency division multiplexing (OFDM) systems with cyclic prefix (CP) can be used to protect signal from the time-variant multipath channel induced distortions. However, the presence of CP could greatly decrease the effective data rate, thus many recent research works have been focused on the multiple-input multiple-output (MIMO) OFDM systems without CP (CP-free), equipped with the space-time block codes (ST-BC). The constraint of the conventional MIMO-OFDM (without using the ST-BC) system is that the number of receive-antenna has to be greater than the transmit-antenna. In this thesis, we first consider the ST-BC MIMO-OFDM system and show that the above-mentioned constraint can be removed, such that the condition become that the receive antenna should be greater than one, that is the basic requirement for MIMO system. It is particular useful and confirm to the recently specification, e.g., 3GPP LTE (Long Term Evolution) where the system deploy the 2×2 or 4×4 antennas systems. This thesis also considers the effects of peak-to-average power ratio (PAPR) in the transmitter and In-phase/ Quadrature-phase (IQ) imbalance in the receiver, and solves them by using the adaptive Volterra predistorter and blind adaptive filtering approach of the nonlinear parameters estimation and compensation, along with the power measurement, respectively. After the compensator of IQ imbalance in the receiver, an equalizer under the framework of generalized sidelobe canceller (GSC) is derived for interference suppression. To further reduce the complexity of receiver implementation, the partially adaptive (PA) scheme is applied by exploiting the structural information of the signal and interference signature matrices. As demonstrated from computer simulation results, the performance of the proposed CP-free ST-BC MIMO-OFDM receiver is very similar to that obtained by the conventional CP-based ST-BC MIMO-OFDM system under either the predistortion or compensation scenario.

碩士
國立中正大學
通訊工程研究所
96
Orthogonal Frequency Division Multiplexing (OFDM) systems play an important role in physical layer of modern WLAN.Direct-conversion RF receiver is low-cost and low-power-consuming, but it introduces IQ imbalance.Phase noise is common when imperfect oscillators are used at the transmitter and receiver.The channel frequency response varies as time proceeds or as the location of transmitter and receiver change.In this thesis, we consider recovering the WLAN OFDM signals in the presence of these imperfect conditions.We propose two methods, one is the least-square (LS) equalization, and the other is least-mean-square (LMS) equalization.From computer simulation results, we conclude that the LMS equalization outperforms,in terms of bit error rates, the LS equalization.

碩士
國立清華大學
通訊工程研究所
103
For the first topic of this thesis, we propose a software-defined network (SDN) controlling FBG-based optical sensing system with mesh topology. In this system, we use a multiple sensing regions scheme supervised by many SDN controllers. Each SDN controller can know the whole network information of every sensing region by exchanging messages with other controllers. Every regular sensing procedure is automatically executed based on the built-in routing table in central office (CO). SDN controller will only participate in and update the sensing procedures based on software algorithms when abnormal occasions occur, such as link failures. This multiple sensing regions scheme is an effective solution to issues of remote nodes controlling and sensing network survivability enhancement. We apply Mininet and Floodlight as simulation platforms to simulate the data plane and control plane respectively. The numerical simulations, including evaluations of the available light path ratio, the sensing signal power loss, and the network survivability, are conducted based on different sensing regions schemes and link failures. As a result, by taking the advantages of the SDN scheme, our demonstration can not only enhance the performance of sensing procedures and the tolerance of link failures, but also offer an effective solution of the network controlling issues. For the second topic of this thesis, we propose a low complexity I/Q imbalance estimation algorithm and iterative compensation scheme for orthogonal frequency division multiplexing (OFDM) system. The I/Q imbalance parameters can be estimated by simple training symbols. Instead of other complex nonlinear calculations, this estimation algorithm only applies simple linear operations, including division and subtraction, to obtain the estimated I/Q imbalance amplitude and phase factors. These compensations are designed as an iterative procedure by compensating imbalances from receiver and transmitter alternatively. With such a design, the distorted I/Q imbalance signals can be greatly improved, such that performance can be approaching to that of undistorted signals. This proposed estimation and compensation scheme is demonstrated by numerical simulations under various I/Q imbalance conditions.

Conventionally, information bits are conveyed in a communication system by transmitting symbols from a complex modulation alphabet such as QAM or PSK. The wireless fading channel is viewed as a signal distorting medium which changes the amplitude and phase of the transmitted complex symbols in a random manner. A recently proposed modulation technique called `media-based modulation' (MBM) takes a different approach in which the channel fades from the transmitter to the receiver are used as a channel alphabet to convey additional information bits along with the bits conveyed by the conventional complex modulation symbols. MBM uses digitally controlled parasitic elements called as radio frequency (RF) mirrors placed near the transmit antenna to create the channel alphabet. Each RF mirror can be in ON or OFF state. An RF mirror reflects the incident RF signal when it is in the ON state and allows it to pass through when it is in the OFF state. The ON/OFF status of the RF mirrors is called as `mirror activation pattern' (MAP). MBM has been shown to achieve high rates and significant performance gains compared to conventional modulation schemes. In this thesis, we investigate several key issues in MBM including design of efficient signal sets for MBM, the effect of IQ imbalance on MBM, deep learning-based receiver architectures for MBM, design and analysis of novel transmission techniques using MBM, and use of MBM in uplink massive MIMO. The contributions made in this thesis can be summarized as follows. Efficient signal set design for MBM: Here, we address the problem of efficient signal set/constellation design for MBM. Multidimensional constellations have been extensively studied in the literature in the context of multidimensional coded modulation and space-time coded MIMO systems, where such constellations are formally called lattice codes. The constellation design for MBM is fundamentally different from those for multidimensional coded modulation and conventional MIMO systems, mainly because of the inherent sparse structure of the MBM signal vectors. Specifically, we need structured sparse lattice codes with good distance properties. We show that using an (N,K) non-binary block code in conjunction with lattice-based multilevel squaring construction, it is possible to systematically construct a signal set for MBM with a certain guaranteed minimum distance. The MBM signal set obtained using the proposed construction is shown to achieve significantly improved bit error performance compared to the conventional MBM signal set. In particular, the proposed signal set is found to achieve higher diversity slopes in the low-to-moderate SNR regime. Effect of IQ imbalance on MBM: In this part of the thesis, we focus on a practical issue that arises in MBM systems which use direct conversion radio frequency (RF) front end architecture. Specifically, we study the performance of MBM in the presence of transmitter and receiver side IQ imbalance (IQI) and propose efficient compensation techniques to alleviate it. We derive the MBM system model in the presence of transmit and receive IQI and show by numerical simulations that MBM is more resilient to IQI compared to conventional modulation. We also propose a scheme that jointly estimates and compensates the channel and IQI parameters during the channel estimation phase using widely linear least squares (WLLS) technique. The proposed scheme is shown to alleviate the degradation in the bit error performance caused by transmit and receive IQI. DNN architecture for MBM receivers: Practical communication systems can have non-idealities which may not follow known models or which may lead to models for which obtaining optimal analytical solutions may not be feasible. Recently, deep learning (DL) based techniques have been successfully employed in addressing such problems in communications. In this direction, we propose a deep neural network (DNN) architecture for MBM receivers, which uses small sub-DNNs to detect the mirror activation pattern and the complex constellation symbol transmitted by the antenna. The proposed DNN-based detector is shown to outperform the conventional maximum likelihood detector under the following conditions of practical interest: i) correlated noise across receive antennas (resulting from mutual coupling, matching networks), ii) noise distribution deviating from the standard AWGN model, and iii) IQ imbalance at the transmitter and receiver. The proposed DNN-based detector learns the deviations from the standard model and thus alleviates the degrading effects of the non-idealities. Multidimensional index modulation using MBM: Next, we propose several transmission schemes using MBM, in which MBM is combined with other index modulation (IM) schemes to achieve indexing across multiple dimensions. The proposed schemes are collectively called as multidimensional index modulation schemes. The intuition behind these schemes is that to achieve a certain transmission rate, the proposed schemes convey a major part of the information bits through the indices of the transmission entities (time-slots, RF mirrors, and antennas) and thus allow using lower-order conventional modulation (QAM or PSK) alphabet, resulting in improved performance. We carry out the diversity and capacity analyses for one of the proposed schemes, viz., time-indexed MBM (TI-MBM). Our diversity analysis shows that TI-MBM can potentially extract the full channel diversity when used in multipath channels. Also, we derive the capacity achieving input distribution for the TI-MBM scheme and obtain the the probabilities with which time-slots and RF mirrors in TI-MBM can be activated such that the achievable transmission rate is maximized. Further, recognizing the sparsity which arises naturally in multidimensional IM systems using MBM, we propose low-complexity sparsity exploiting detection algorithms for the proposed multidimensional IM schemes. The proposed algorithms are shown to achieve good performance at low computational complexities. MBM in uplink massive MIMO: Finally, we consider uplink communication in a massive MIMO system consisting of tens of users and a base station (BS) with tens to hundreds of receive antennas. Each user employs MBM with one transmit antenna and multiple RF mirrors placed near it. Our results show that MBM, when used in the uplink massive MIMO setting, achieves superior bit error performance compared to other single RF chain based transmission schemes such as conventional modulation (using a single transmit antenna) and spatial modulation. We then propose a detection algorithm based on compressive sensing (CS) that exploits the inherent inclusion-exclusion sparsity of the MU-MBM transmit vectors. Our results show that the MU-MBM system, with the proposed CS based detection algorithm can lead to a significant reduction in the required number of receive antennas at the BS compared to uplink systems which use conventional modulation schemes.