Saab Automobile AB

About: Saab Automobile AB is a based out in . It is known for research contribution in the topics: Radar & Antenna (radio). The organization has 760 authors who have published 890 publications receiving 11811 citations.

Instinctual Interference-Adaptive Low-Power Receiver With Combined Feedforward and Feedback Control

Abstract: Highly adaptive, instinctively interference-tolerant radio frequency (RF) receivers are in high demand today. To achieve high-interference robustness at low average power, receivers need to be dynamically configured to operate in low-power mode in the absence of interference and a high-power interference-tolerant mode as an “instinctual” response to the blocker. In this letter, we present an interference-adaptive receiver with a control loop and on-board commercial off-the-shelf (COTS) components that adapt a 2–6-GHz low-noise amplifier (LNA) from a low-power mode (−10-dBm $P_{\text {1 dB,IN}}$ and $\approx 280$ -mW power) to high-linearity mode (1.5-dBm $P_{\text {1 dB,IN}}$ and $\approx 1.4$ -W power) where the linearity is increased by 11.5 dB ( $> 14\times $ ) with a $5\times $ increase in consumed power. With no interference, the control loop automatically brings the LNA back to the low-power mode.

Prognostics of electronic systems through power supply current trends

Abstract: As today's avionic systems highly rely on electronic components, the prognostic of electronic systems in the context of avionics has become crucial. This paper presents a prognostic method applicable to electronic components and systems based on the analysis of the power supply current. In this method, the focus is on trends in the measured power supply current of the device under prognostic process. The discussion in this paper reveals that there is a measurable relationship between the supply current and the remaining lifetime of the electronic devices. The presented methodology is supported by circuit simulations performed on a system consisting of reference circuitry. The prognostic method shows great promise due to the ability of being applicable at any prognostic level.

Experimental results on change detection based on Bayes probability theorem

Abstract: In this paper we propose a new change detection (CD) algorithm based on the Bayes theorem and probability assignments. Differently from any kind of likelihood ratio test (LRT) algorithms, the proposed algorithm does not present target alarms, but the probability of certain image position is a target position. In other words, the proposed method leads to quantitative estimates on the probability of a target at any pixel, whereas LRT algorithms can only be used as a figure of merit for any pixel to contain a target.

Automatic Gas Turbine Matching Scheme Adaptation for Robust GPA Diagnostics

Abstract: When performing gas turbine diagnostics using Gas Path Analysis (GPA), a convenient way of extracting the degradations is by feeding the measured data from a gas turbine to a well-tuned gas turbine ...