Abstract: 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.

Abstract: 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.

Abstract: A method and apparatus to characterize a modulator without requiring access to modulator local oscillators. A periodic signal is input so that at least two tones are output, and the envelope of the filtered output is detected. The modulated output signal is generally differentially filtered before envelope detection, and the measured amplitude and phase of the envelope of the differentially filtered modulator output frequencies, combined with the known filter characteristics, are used to deduce the amplitude and phase of the modulated output. The modulator input signal frequencies may advantageously be controlled to substantially limit the output to frequencies which differ from a reference frequency by odd multiples of a delta frequency, reducing intermodulation components. In this special case the modulator output may be deduced from a squared envelope signal without a need for differential filtering. The deduced output, compared to the known input, characterizes the modulator at the input frequencies.

Abstract: A broadband high frequency device is capable of determining linear combinations of broadband high frequent signals, in particular determining a differential signal, from input signals, being applied substantially simultaneously. One embodiment is based on a plurality of broadband microwave structures, arranged such that symmetry properties can be exploited. The output signal of this differential coupler is proportional to the difference of 2 input ports. This signal is made using a hybrid structure. A pair of broadband impedances are used to scale the 2 incoming signals with 2 complex coefficients. A symmetric structure of two identical broadband directional couplers and a symmetric power combiner are used afterwards to obtain the differential signal. The high bandwidth of both the terminations, the directional couplers and the power combiner make it possible to obtain a differential coupling factor and a common mode rejection ratio which is frequency insensitive over several decades.

Abstract: 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.