Interuniversitair Microelektronica Centrum (imec)

Samsung Electronics Co., Ltd.

Imec

Vrije Universiteit Brussel

Gerd Vandersteen

Pierre Wambacq

Yves Rolain

Petr Dobrovolny

Jian Liu

Jozef Verbeeck

Johan Schoukens

A device and method for calibrating MIMO systems are disclosed. In one aspect, a calibration circuit comprises at least a first and a second input/output port, each arranged for being connected to a different transmitter/receiver pair of a multiple input multiple output (MIMO) system. The circuit further comprises at least a third and a fourth input/output port, each arranged for being connected to a different antenna. The circuit further comprises an attenuator having a first attenuator port and a second attenuator port. The circuit further comprises a first and a second non-reciprocal switch, the first switch being arranged for establishing a connection between the first input/output port and either the third input/output port or the first attenuator port, and the second switch arranged for establishing a connection between the second input/output port and either the fourth input/output port or the second attenuator port.

Device and method for calibrating MIMO systems

Simulation methods and simulators are presented which operate on a computer under software control. Said computer simulation methods and simulators are specially suited for simulating digital circuits and mixed analog digital circuits. The methods enable efficient simulation, meaning resulting in a fast simulation while still obtaining accurate results. With fast simulation is meant that the simulation can be completed in a short simulation time. Accurate means that the signals obtained or determined by simulation are good approximations of the signals that would be measured when the circuit, which representation is under simulation, is actually running in real world. Indeed the simulation methods and the related simulation apparatus or simulator exploits a representation of a circuit.

Method for determining signals in mixed signal systems

A method for estimating the BER for telecommunication systems, particular those characterized by signals having high crest factors or causing large inband nonlinear distortions. The set of signals used by the system is divided into subsets according to a characteristic such as signal crest factor, and a BER estimation method is chosen for each subset. Signals causing a large BER are simulated more efficiently using a Monte Carlo simulation, while low BER estimations more efficiently use a quasi-analytical method. The method results in improved accuracy because the noise contribution in quasi-analytical methods can be better approximated for signals having a small crest factor range, and drastically reduces the number of experiments, measurements or simulations which are needed to obtain an accurate BER estimation, as compared to standard Monte Carlo techniques.

System and method for determining bit-error rates

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Sint-Pieters-Leeuw, Belgium

Gerd Vandersteen