2008 38th European Microwave Conference 2008
DOI: 10.1109/eumc.2008.4751778
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A versatile FMCW Radar System Simulator for Millimeter-Wave Applications

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Cited by 18 publications
(7 citation statements)
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“…The starting frequencies f 0, i , the chirp-rates k , as well as the deviation factors α i are used as simulation parameters. The fixed additive white Gaussian noise level and the PLL-shaped phase-noise densities were determined by characterization of the FE's hardware components and integrated into the model according to the simulation approach presented in [13]. An exemplary comparison between the IF signal from a cooperative measurement at a single station and its synthetical, simulator-generated pendant is shown in Fig.…”
Section: Simulation and Measurement Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The starting frequencies f 0, i , the chirp-rates k , as well as the deviation factors α i are used as simulation parameters. The fixed additive white Gaussian noise level and the PLL-shaped phase-noise densities were determined by characterization of the FE's hardware components and integrated into the model according to the simulation approach presented in [13]. An exemplary comparison between the IF signal from a cooperative measurement at a single station and its synthetical, simulator-generated pendant is shown in Fig.…”
Section: Simulation and Measurement Resultsmentioning
confidence: 99%
“…For comparison purposes the radar simulator was used to determine the theoretical achievable standard deviations of the synchronized measurement approach without data exchange, assuming an optimal time-synchronization of the given stations. Owing to the phase-noise correlation and averaging effects [13] the DR-FMCW system results in a significantly better performance than the perfectly synchronized approach, especially at low distances. Analyzing the measured signal power levels depicted in Fig.…”
Section: Simulation and Measurement Resultsmentioning
confidence: 99%
“…Figure 7 illustrates the design of the FMCW system created to validate the experimental results. The system was designed with reference to previously instantiated radar setups [44], [45], with components selected to suit the specific SHM application. The requirements of such a system included antennas suited to measuring IDDs.…”
Section: Methodsmentioning
confidence: 99%
“…The actual value of σ 2 used is in accordance both with measurement data and with a model of the receiver, see [22], [45] for extensive discussion on modeling and simulation of the noise performance of FMCW radar systems. Combining (12) and (6) with the target range information r 0 and u-space coordinates u(θ, φ) to transform J (u, r ) according to the well-known set of formulas Fig.…”
Section: ) Radar Array Design and Beampattern Simulationmentioning
confidence: 99%