In recognition of their outstanding achievements in the broad field of digital signal processing, the European Association for Signal Processing (EURASIP) appoints up to four scientists every year as “EURASIP Fellows”. This recognition is considered the highest honor that the professional society awards. Prof. Martin Haardt, head of the communications engineering department at TU Ilmenau, is one of the EURASIP Fellows in 2024. This makes him only the sixth scientist in Germany to receive this award since it was first awarded in 2007. The award ceremony will take place in August 2024 in Lyon, France as part of the European Signal Processing Conference ( EUSIPCO 2024 ).
Prof. Martin Haardt is being honored in particular for his achievements in the areas of wireless multiple-input-multiple-output (MIMO) communication systems with multiple participants and tensor-based signal processing. MIMO communication systems are used, for example, in mobile communications and describe communication with multiple antennas on the transmitting and receiving sides. As one of the first scientists in the world, Prof. Haardt dealt with general MIMO downlink beamforming for several participants. It describes how different radio signals from the network are distributed to several end devices at the same time on the same transmission frequency. Prof. Haardt did particularly pioneering work here because he included several receiving antennas on the end devices. His comprehensive approach to solving this problem led to a paradigm shift that advanced the field of multi-user MIMO communication and is considered worldwide as a turning point in the realization of MIMO communication systems using linear (and therefore relatively simple) spatial preprocessing ( Precoding) and traditional coding achieve system optimality.
In addition, Prof. Martin Haardt developed efficient tensor-based signal processing algorithms for multidimensional high-resolution parameter estimation, data fusion and various other multidimensional signal processing tasks, which are used, among other things, for the analysis of biomedical data or wireless communication and radar applications. Tensors are an important mathematical tool that generalizes matrices to more than two dimensions. Furthermore, Prof. Haardt has successfully used it as a tool for learning the statistical behavior of general discrete random vectors from their partial realizations. Tensor-based algorithms are also used in image processing to describe and manipulate multidimensional signals. The multidimensionality can arise, for example, because the signals are recorded by several sensors that measure different variables. The work of Prof. Haardt enables the estimation of the dominant signal components in multidimensional - often very noisy - measurements.
The European Association for Signal Processing (EURASIP) is an international scientific society for the theory and application of signal processing. It was founded on September 1, 1978 and organizes the European Signal Processing Conference (EUSIPCO), which has taken place annually at various European locations since 1993. It also publishes a number of scientific journals, which are also freely accessible.
Contact
Prof. Martin Haardt
Head of the communications engineering department