This work presents a study of the adaptive equalization techniques designed to improve the bit error rates of digital transmissions degraded by intersymbol interference in radio communication. This thesis considers the following structures: the linear transversal equalizer (LTE), the decision feedback equalizer (DFE), the lattice equalizer, and the maximum likelihood sequence estimation (MLSE) equalizer. Least mean square (LMS) and recursive least squares (RLS) algorithms are used as the adaptive algorithms for these equalizers. Lattice-DFE, DFE, and MLSE with an RLS algorithm are recommended to be implemented in mobile systems because of their better performances. A two-ray Rayleigh fading channel model is used to simulate the mobile channels. The results show that adaptive equalization can significantly improve the performance of mobile communications if the channel does not change too fast. The simulation shows that if the delay (T) of the second ray is too small, the adaptive equalization will degrade the BER performance, and the value of T at which the adaptive equalizer can improve the BER is determined by the speed of the mobile channel variation. Also, simulation results obtained by using SIRCIM, a real world indoor channel simulator, shows that adaptive equalization has good performance in slowly varying channels. An equalizer working in indoor high data rate systems has a BER less than 10-3 at 15 dB Eb/Noâ ¢ The SMRCIM urban channel model is also developed and implemented for equalization simulation. Finally, equalization structures for differential modulation techniques are proposed. / Master of Science

by Kin Kwong Leung. / Thesis submitted in: November 1999. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2000. / Includes bibliographical references (leaves 67-[70]). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Code Division Multiple Access (CDMA) --- p.1 / Chapter 1.1.1 --- The Cellular Concept --- p.2 / Chapter 1.2 --- Fading and Power Control --- p.3 / Chapter 1.2.1 --- Large Scale Fading --- p.3 / Chapter 1.2.2 --- Small Scale Fading --- p.4 / Chapter 1.2.3 --- Power Control --- p.5 / Chapter 1.2.4 --- Standard Interference Function --- p.5 / Chapter 1.3 --- Previous Work --- p.6 / Chapter 1.3.1 --- Power Control --- p.6 / Chapter 1.3.2 --- Convergence Analysis --- p.8 / Chapter 1.4 --- Scope of this Thesis --- p.8 / Chapter 1.5 --- Organization of the Thesis --- p.9 / Chapter 2 --- System Model --- p.10 / Chapter 2.1 --- System and Definitions --- p.10 / Chapter 2.2 --- Varying Link Gains Model --- p.11 / Chapter 2.3 --- SIR model in CDMA System --- p.13 / Chapter 2.4 --- Simulation Model --- p.14 / Chapter 3 --- Fade Margin --- p.17 / Chapter 3.1 --- Introduction --- p.17 / Chapter 3.2 --- Fixed-step Power Control Algorithm --- p.18 / Chapter 3.3 --- Definitions and Feasibility of SIR --- p.19 / Chapter 3.3.1 --- Definition --- p.19 / Chapter 3.3.2 --- Feasibility --- p.20 / Chapter 3.4 --- Performance Analysis on Fading Channel --- p.22 / Chapter 3.4.1 --- Single-User --- p.22 / Chapter 3.4.2 --- Multiple-User --- p.24 / Chapter 4 --- Generalized Step Power Control Algorithm --- p.28 / Chapter 4.1 --- Introduction --- p.28 / Chapter 4.2 --- Generalized Fixed Step Power Control Algorithm --- p.29 / Chapter 4.3 --- Existence of the Solution --- p.30 / Chapter 4.4 --- Parameter Optimization --- p.31 / Chapter 4.4.1 --- Single-User --- p.34 / Chapter 4.4.2 --- Multiple-User --- p.37 / Chapter 4.5 --- Performance Analysis --- p.41 / Chapter 4.5.1 --- Single-User --- p.41 / Chapter 4.5.2 --- Multiple-User --- p.42 / Chapter 4.6 --- Hybrid Scheme --- p.47 / Chapter 5 --- Convergence Analysis --- p.49 / Chapter 5.1 --- Introduction --- p.49 / Chapter 5.2 --- Totally Asynchronous Models --- p.50 / Chapter 5.3 --- Normalized Interference Function --- p.52 / Chapter 5.4 --- Existence of Quantized Solution --- p.53 / Chapter 5.5 --- Convergence Theorem --- p.55 / Chapter 6 --- Conclusion and Future Work --- p.64 / Chapter 6.1 --- Conclusion --- p.64 / Chapter 6.2 --- Future Works --- p.65 / Bibliography --- p.67

Digital transmitters offer several advantages over conventional analog transmitters such as reconfigurability, elimination of scaling-unfriendly, power hungry and bulky analog blocks and portability across technology. The rapid advancement of technology in CMOS processes also enables integration of complex digital signal processing circuitry on the same die as the digital transmitter to compensate for their non-idealities. The use of this digital assistance can, for instance, enable the use of highly efficient but nonlinear switching-class power amplifiers by compensating for their severe nonlinearity through digital predistortion. While this shift to digitally intensive transmitter architectures is propelled by the benefits stated above, several pressing challenges arise that vary in their nature depending on the frequency of operation - from RF to mmWave. Millimeter wave CMOS power amplifiers have traditionally been limited in output power due to the low breakdown voltage of scaled CMOS technologies and poor quality of on-chip passives. Moreover, high data-rates and efficient spectrum utilization demand highly linear power amplifiers with high efficiency under back-off. However, linearity and high efficiency are traditionally at odds with each other in conventional power amplifier design. In this dissertation, digital assistance is used to relax this trade-off and enable the use of state-of-the-art switching class power amplifiers. A novel digital transmitter architecture which simultaneously employs aggressive device-stacking and large-scale power combining for watt-class output power, dynamic load modulation for linearization, and improved efficiency under back-off by supply-switching and load modulation is presented. At RF frequencies, while the problem of watt-class power amplification has been long solved, more pressing challenges arise from the crowded spectrum in this regime. A major drawback of digital transmitters is the absence of a reconstruction filter after digital-to-analog conversion which causes the baseband quantization noise to get upconverted to RF and amplified at the output of the transmitter. In high power transmitters, this upconverted noise can be so strong as to prevent their use in FDD systems due to receiver desensitization or impose stringent coexistence challenges. In this dissertation, new quantization noise suppression techniques are presented which, for the first time, contribute toward making watt-class fully-integrated digital RF transmitters a viable alternative for FDD and coexistence scenarios. Specifically, the techniques involve embedding a mixed-domain multi-tap FIR filter within highly-efficient watt-class switching power amplifiers to suppress quantization noise, enhancing the bandwidth of noise suppression, enabling tunable location of suppression and overcoming the limitations of purely digital-domain filtering techniques for quantization noise.

However, the proposed receiver and channel selection scheme still suffer from the mismatches picked up during RF-to-IF conversion. Therefore, a system called phase and amplitude mismatch cancellers is adopted to deal with the problem. Existing implementations neglected several critical behaviors of the cancellers, and provide image rejection ratios (IRR) ranging from 50dB to 65dB only. These behaviors include (i) arithmetic underflow, (ii) angular obscurity and (iii) spurious intermodulation products (IMD) produced by cancellers. We analyzed them and established several design rules, by which a far better IRR of at least 82.5dB was achieved. The system makes the proposed receiver and channel selection method feasible. / In traditional receivers involving intermediate frequency (IF), two different RF channels, Signal and Image, are converted to the same IF and overlap with each other. The Signal is always wanted with the Image eliminated, so each RF LO frequency can only select one RF channel. By digital low-IF, the IF-to-baseband conversion can be configured so that either channel can be selected, then each RF LO frequency can select two RF channels. This enhanced channel selection scheme can effectively reduce the number of LO frequency locations by half as well as the requirements of RF PLL frequency synthesizer. An existing approach makes use of configurable sampling scheme to achieve the same aim, but its use of analog sampling circuits results in phase and amplitude mismatches, from which the performance of image rejection suffers. Digital low-IF does not have this problem, since no mismatches are introduced to the signals after digitization. / The proposed digital low-IF Weaver receiver, together with the enhanced channel selection scheme and the phase and amplitude mismatch cancellers, are demonstrated to be feasible by a multi-band multi-mode receiver prototype supporting GSM900 and WCDMA. / The receiver architecture proposed in this thesis makes use of Weaver architecture with digital low-IF. Its flexibility allows for any operations to be performed on the digitized signals, as well as the enhanced channel selection scheme proposed in this thesis. / Chan Pak Kee. / "September 2007." / Adviser: Chiu Sing Choy. / Source: Dissertation Abstracts International, Volume: 69-08, Section: B, page: 4924. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2007. / Includes bibliographical references (p. 152-162). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstracts in English and Chinese. / School code: 1307.

Kin Kwong Leung. / "August 15, 2003." / Thesis (Ph.D.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (p. 77-[82]). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Mode of access: World Wide Web. / Abstracts in English and Chinese.

Yau Chin Hang Herman. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (leaves 90-92). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- To A Localization --- p.10 / Chapter 2.1 --- Linear Estimator --- p.13 / Chapter 2.2 --- The Approximate Maximum Likelihood (AML) estimator --- p.14 / Chapter 2.3 --- Estimator for Linear BS --- p.18 / Chapter 3 --- TDoA Localization --- p.22 / Chapter 3.1 --- AML in TDoA localization --- p.27 / Chapter 4 --- Discussions of Application Considerations --- p.32 / Chapter 4.1 --- The Non-Line-of-Sight Problem --- p.33 / Chapter 4.2 --- Multipath Propagation --- p.34 / Chapter 4.3 --- Optimum placement of 4 sensors --- p.35 / Chapter 5 --- Simulation Studies --- p.44 / Chapter 5.1 --- Measures of Accuracy --- p.45 / Chapter 5.2 --- Simulations for non-linear array BSs --- p.47 / Chapter 5.2.1 --- Simulation 1: MS locating inside the enclosed area formed by 3BSs --- p.48 / Chapter 5.2.2 --- Simulation 2: The MS is outside the enclosed area formed by 3 BSs --- p.52 / Chapter 5.2.3 --- Simulation 3: The MS is inside the enclosed area formed by 6 BSs --- p.55 / Chapter 5.2.4 --- Simulation 4: The MS locates outside the enclosed area formed by 6 BSs --- p.58 / Chapter 5.3 --- ML estimator for linear array --- p.62 / Chapter 5.3.1 --- Simulation 5: Three BSs with equal spacing --- p.62 / Chapter 5.3.2 --- Simulation 6: Three BSs with non-equal spacing --- p.64 / Chapter 5.4 --- TDOA localization simulations --- p.66 / Chapter 5.4.1 --- Simulation 7: TDOA localization with 4 equal spacing microphones and the speaker is inside the enclosed area --- p.66 / Chapter 5.5 --- To see the performance of optimum placement --- p.69 / Chapter 5.5.1 --- Simulation 8: Optimum placement of the 4th microphone if the other three are fixed --- p.70 / Chapter 5.5.2 --- Simulation 9: Fixing 2 microphone and find the optimum placement of the other two microphones --- p.74 / Chapter 5.5.3 --- Simulation 10: The optimum placement of microphones without constraint --- p.78 / Chapter 6 --- Conclusions and Suggestions for future work --- p.81 / Chapter 6.1 --- Conclusions --- p.81 / Chapter 6.2 --- Suggestion for future work --- p.83 / Appendices --- p.85 / Chapter A --- The relationship between range variance and range difference variance --- p.85 / Chapter B --- The Cramer-Rao Lower Bound (CRLB) for TDoA and ToA cases --- p.87

Ng, Yuen Sum. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2009. / Includes bibliographical references. / Abstract also in Chinese. / Chapter 1. --- INTRODUCTION --- p.11 / Chapter 1.1 --- Motivation --- p.11 / Chapter 1.2 --- Specifications --- p.12 / Chapter 1.3 --- Organization of the Thesis --- p.16 / Chapter 1.4 --- References --- p.16 / Chapter 2. --- BASIC THEORY OF POWER AMPLIFIER AND TRANSMITTER FRONT-END --- p.18 / Chapter 2.1 --- Classification of Power Amplifier --- p.18 / Chapter 2.1.1 --- Class A --- p.20 / Chapter 2.1.2 --- Class B --- p.21 / Chapter 2.1.3 --- Class AB --- p.22 / Chapter 2.1.4 --- Class C --- p.23 / Chapter 2.1.5 --- Class D --- p.24 / Chapter 2.1.6 --- Class E --- p.25 / Chapter 2.1.7 --- Class F --- p.28 / Chapter 2.2 --- Figure-of-Mhrit of Power Amplifier --- p.28 / Chapter 2.2.1 --- Small Signal Analysis --- p.29 / Chapter 2.2.1.1 --- S-parameter --- p.29 / Chapter 2.2.1.2 --- Gain and Stability --- p.29 / Chapter 2.2.2 --- Large Signal Analysis --- p.32 / Chapter 2.2.2.1 --- 1-dB compression point --- p.33 / Chapter 2.2.2.2 --- Third-order intermodulation point --- p.33 / Chapter 2.2.2.3 --- Power Gain --- p.35 / Chapter 2.2.2.4 --- Drain Efficiency and Power Added Efficiency --- p.35 / Chapter 2.2.2.5 --- AM-AM and AM-PM conversion --- p.36 / Chapter 2.2.3 --- Modulation Analysis --- p.36 / Chapter 2.2.3.1 --- Constellation Diagram and Error Vector Magnitude --- p.36 / Chapter 2.3 --- Reference --- p.37 / Chapter 3. --- CIRCUIT DESIGN OF POWER AMPLIFIER --- p.39 / Chapter 3.1 --- Introduction --- p.39 / Chapter 3.2 --- Topology of the Power Amplifier Design --- p.39 / Chapter 3.3 --- Design in Power Amplifier --- p.40 / Chapter 3.2.1 --- Power Stage --- p.40 / Chapter 3.2.2 --- Driver Stage and Input matching --- p.46 / Chapter 3.4 --- Simulation Result on Power Amplifier --- p.49 / Chapter 3.5 --- Layout consideration --- p.50 / Chapter 3.6 --- Measurement Result on Power Amplifier --- p.51 / Chapter 3.4.1 --- Small signal measurement --- p.52 / Chapter 3.4.2 --- Large signal measurement --- p.55 / Chapter 3.4.3 --- Modulation measurement --- p.56 / Chapter 3.7 --- Performance Summary --- p.58 / Chapter 3.8 --- Reference --- p.59 / Chapter 4. --- CIRCUIT DESIGN OF TRANSMITTER FRONT-END --- p.60 / Chapter 4.1 --- Introduction --- p.60 / Chapter 4.2 --- Topology of the Transmitter Front-End Design --- p.61 / Chapter 4.3 --- Design in transmitter front-end circuit --- p.64 / Chapter 4.2.1 --- I/Q Modulator --- p.64 / Chapter 4.2.2 --- Power Amplifier --- p.66 / Chapter 4.2.3 --- On-chip LC Balun --- p.72 / Chapter 4.4 --- Simulation Result of the Transmitter Front-End Design --- p.74 / Chapter 4.5 --- Layout consideration --- p.75 / Chapter 4.6 --- Measurement Result of the Transmitter Front-End Design --- p.76 / Chapter 4.4.1. --- Transmitter Front-End Measurement --- p.77 / Chapter 4.4.1.1 --- Output Reflection coefficient --- p.77 / Chapter 4.4.1.2 --- Large Signal Measurement --- p.78 / Chapter 4.4.1.3 --- Modulation Measurement --- p.81 / Chapter 4.4.2. --- LC Balun Measurement --- p.84 / Chapter 4.7 --- Performance Summary of the transmitter front-end circuit --- p.86 / Chapter 4.8 --- Reference --- p.89 / Chapter 5. --- CONCLUSION --- p.90 / Chapter 6. --- FUTURE WORK --- p.91

Multiple-input multiple-output (MIMO) antennas can be exploited to provide high data rate using a limited bandwidth through multiplexing gain. MIMO combined with orthogonal frequency division multiplexing (OFDM) could potentially provide high data rate and high spectral efficiency in frequency-selective fading channels. MIMO-OFDM technology has been widely employed in modern communication systems, such as Wireless Local Area Network (WLAN), Long Term Evolution (LTE) and Worldwide Interoperability for Microwave Access (WiMAX). However, most of the conventional schemes either are computationally prohibitive or underutilize the full performance gain provided by the inherent merits of MIMO and OFDM techniques. In the first part of this dissertation, we firstly study the channel matrix inversion which is commonly required in various MIMO detection schemes. An algorithm that exploits second-order extrapolation in the time domain is proposed to efficiently reduce the computational complexity. This algorithm can be applied to both linear detection and non-linear detection such as ordered successive interference cancellation (OSIC) while maintaining the system performance. Secondly, we study the complexity reduction for Lattice Reduction Aided Detection (LRAD) of MIMO-OFDM systems. We propose an algorithm that exploits the inherent feature of unimodular transformation matrix that remains the same for relatively highly correlated frequency components. This algorithm effectively eliminates the redundant brute-force lattice reduction iterations among adjacent subcarriers. Thirdly, we analyze the impact of channel coherence bandwidth on two LRAD algorithms. Analytical and simulation results demonstrate that carefully setting the initial calculation interval according to the coherence bandwidth is essential for both algorithms. The second part of this dissertation focuses on efficient multi-user (MU) scheduling and coordination for the uplink of WLAN that uses MIMO-OFDM techniques. On one hand, conventional MU-MIMO medium access control (MAC) protocols require large overhead, which lowers the performance gain of concurrent transmissions rendered by the multi-packet reception (MPR) capability of MIMO systems. Therefore, an efficient MU-MIMO uplink MAC scheduling scheme is proposed for future WLAN. On the other hand, single-user (SU) MIMO achieves multiplexing gain in the physical (PHY) layer and MU-MIMO achieves multiplexing gain in the MAC layer. In addition, the average throughput of the system varies depending on the number of antennas and users, average payload sizes, and signal-to-noise-ratios (SNRs). A comparison on the performance between SU-MIMO and MU-MIMO schemes for WLAN uplink is hence conducted. Simulation results indicate that a dynamic switch between the SU-MIMO and MU-MIMO is of significance for higher network throughput of WLAN uplink. / Graduation date: 2013

L.B. Arguimbau ... [et al.]. / "September 20, 1954." / Bibliography: p. 49. / Army Signal Corps Contract DA36-039 sc-42607 Project 132B Dept. of the Army Project 3-99-12-022

R.D. Stuart ... [et al.]. / "July 6, 1953." / Bibliography: p. 10. / Army Signal Corps Contract No. DA36-039 sc-100 Project No. 8-102B-0 Dept. of the Army Project No. 3-99-10-022