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Projects

Component-Wise Conditionally Unbiased Estimation (FoDok)

In this project the class of conditionally unbiased linear estimators are studied and compared against linear unbiased estimators and linear minimum mean square error estimators. We investigate the prerequisites, the behavior and the performance of linear component-wise conditionally unbiased (CWCU) estimators. Also a widely linear extension is currently under investigation.

 

Low Complexity Iterative Signal Processing Methods
(FoDok)

The goal of this project is to develop low complexity iterative signal processing methods, mainly for estimation. The focus lies on developing low complexity algorithms suited for hardware implementation, as well as formulating the theoretical framework behind them.

 

ECG Signal Processing

The electrocardiogram (ECG) assesses the electrical and muscular functions of the heart and is often used as a diagnostic tool. In this project we work on realiable measurements of the ECG signal without arteficial side effects and without removing any desease-specific abnormalities. In a next step markers will be automatically extracted from the ECG signal. These markers are then used for the diagnosis.

 

Battery- and Power-Management for Mobile Devices (FoDok)

Wireless power transfer is an emerging technology with a huge variety of different application fields ranging from e.g. charging artificial hearts with a few milli watts in medical applications up to powering public transport vehicles with several kilo watts. The research focus of this project is the optimization of systems in the low to medium power range (up to 15W). Currently, inductive power transfer operating off resonance is under investigation.

 

Advanced control techniques for multi-phase DC/DC converters for automotive microcontroller applications

The main goal of this project is to investigate suitable control techniques aimed at optimized power conversion for time-interleaved DC/DC converters and their implementation in a mixed-signal ASIC controller. Several topics must be investigated, such as system-level analysis of the converter and implementation details, e.g. current balancing without current sensing or with only limited current information.

 

Acoustic Beamforming using MEMS microphones (FoDok)

Microphone arrays utilize the spatial information of sound sources to separate the desired acoustic signal (e.g. a speaker) from an interfering environmental noise field. However due to the physical dimensions and manufacturing tolerances of electret condenser microphones (ECMs) the array dimension cannot be arbitrary small. Recent advances in the production of MEMS (Micro-Electro-Mechanical Systems) microphones enable the design of microphone arrays with small dimension suitable for mobile applications.

 

SILENSE – (Ultra) Sound Interfaces and Low Energy iNtegrated SEnsors (FoDok)

The SILENSE project will focus on using smart acoustic technologies and ultrasound in particular for Human Machine- and Machine to Machine Interfaces. Acoustic technologies have the main advantage of a much simpler, smaller, cheaper and easier to integrate transducer. The ambition of this project is to develop and improve acoustic technologies beyond state-of-the-art and extend its application beyond the mobile domain to Smart Home & Buildings and Automotive domains.

 

Spurs Mitigation in Digital-to-Time Converters

A Digital-to-Time Converter (DTC) converts a digital code into a time shift of a clock edge, which can be used in transceivers for frequency synthesis or phase modulation of a carrier. DTC-based transceiver architectures offer many advantages such as wide frequency coverage or high frequency resolution, but are also prone to generate spurious tones (spurs). Therefore, the goal of this project is to develop sophisticated spurs cancellation techniques.

 

Digital Compensation of Supply Voltage Variations for Switched-Capacitor Power Amplifiers (SCPA) (FoDok)

This project focuses on digital compensation techniques of power supply distortions for a Switched-Capacitor Power Amplifier (SCPA) in mobile transmitters. The SCPA is a configurable capacitive voltage divider, combining the functionality of a digital-to-analog converter (DAC), a mixer, and a power amplifier (PA). Variations on the supply of the SCPA cause additional mixing products with the input signal and create undesired harmonics in the output signal, increasing the adjacent channel leakage ratio (ACLR). This work investigates fully digital compensation techniques to maintain the system’s linearity while at the same time increase the efficiency by omitting additional required circuitry to suppress supply voltage variations.

 



Finished Projects

Signal Processing Algorithms and Architectures for FMCW Radar Transceiver MMICs (FoDok)

Digital Signal Processing is a key building block of today’s automotive radar systems. With the trend towards high functional integration, such systems can be realized on a single Monolithic Microwave Integrated Circuit (MMIC). Therewith a need for sophisticated digital signal processing algorithms and architectures emerge in order to maximize the performance with respect to target detection range and sensitivity.

 

Unique-Word-Based OFDM (FoDok)

OFDM is currently the dominating technique in the wired, wireless and optical communications field. One of the drawbacks of the classical OFDM concepts is that they still sacrifice up to 20 % of the transmit energy and data rate only to cope with the effects of multipath propagation. Unique Word OFDM is a novel signaling scheme that promises to overcome this flaw.

 

ACCM - Wireless Transceiver Technology (FoDok)

The demand for rapidly growing mobile data rates has posed unprecedented challenges to the wireless industry. Carrier Aggregation (CA) is one of the key enablers to offer peak data rates that is required for 4G LTE-A RF transceivers. However, implementing this feature will give raise to several new issues. The self-interference problem due to modulated spurs is the significant obstacle to enable a fully functional CA. This project aims to model and investigate the modulated spur problem, and to develop an all digital cancellation mechanisms using adaptive signal processing algorithms.