3 results
Now showing1 - 3 of 3
- Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Radar image reconstruction from Raw ADC data using parametric variational autoencoder with domain adaptationThis paper presents a parametric variational autoencoder-based human target detection and localization framework working directly with the raw analog-to-digital converter data from the frequency modulated continuous wave radar. We propose a parametrically constrained variational autoencoder, with residual and skip connections, capable of generating the clustered and localized target detections on the range-angle image. Furthermore, to circumvent the problem of training the proposed neural network on all possible scenarios using real radar data, we propose domain adaptation strategies whereby we first train the neural network using ray tracing based model data and then adapt the network to work on real sensor data. This strategy ensures better generalization and scalability of the proposed neural network even though it is trained with limited radar data. We demonstrate the superior detection and localization performance of our proposed solution compared to the conventional signal processing pipeline and earlier state-of-art deep U-Net architecture with range-doppler images as inputs.Publicationtype: Conference Paper56 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Evaluation of Antenna Calibration and DOA Estimation Algorithms for FMCW Radars(2019-10); ; ; ; High-resolution subspace-based direction of arrival (DOA) estimation methods critically rely on a correct model of the array steering vectors. In order to achieve a high accuracy of parameter estimation, an antenna array calibration is necessary. This paper presents a comparative study of different active calibration methods for frequency-modulated continuous wave (FMCW) radars. Additionally, improvements to the presented local calibration method are suggested. The theoretical performance of the methods is evaluated with simulations and validated with data from real-world measurements.Publicationtype: Conference Paper77 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Evaluation of Antenna Calibration and DOA Estimation Algorithms for FMCW RadarsHigh-resolution subspace-based direction of arrival (DOA) estimation methods critically rely on a correct model of the array steering vectors. In order to achieve a high accuracy of parameter estimation, an antenna array calibration is necessary. This paper presents a comparative study of different active calibration methods for frequency-modulated continuous wave (FMCW) radars. Additionally, improvements to the presented local calibration method are suggested. The theoretical performance of the methods is evaluated with simulations and validated with data from real-world measurements.Publicationtype: Conference Paper161