Improved Target Detection and Feature Extraction using a Complex-Valued Adaptive Sinc Filter on Radar Time Domain Data

Stadelmayer T, Santra A, Stadelmayer M, Weigel R, Lurz F (2021)


Publication Type: Conference contribution

Publication year: 2021

Journal

Publisher: EUROPEAN ASSOC SIGNAL SPEECH & IMAGE PROCESSING-EURASIP

City/Town: KESSARIANI

Pages Range: 1745-1749

Conference Proceedings Title: 29TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2021)

Event location: , ELECTR NETWORK

DOI: 10.23919/EUSIPCO54536.2021.9616250

Abstract

In state-of-art radar classification tasks the raw time domain ADC data is transformed to frequency domain wherein the target is detected. Feature data, such as the micro-Doppler signature, is extracted for classification of e.g. a performed gesture or a person based on its gait. However, the transformation into frequency domain using short-time Fourier transform resulting in erroneous target detection due to superposition of target components thus leading to sub-optimal feature for subsequent classification task. Thus, in this paper we propose a target feature extraction approach that operates directly on 2D time domain radar data by using a complex-valued adaptive 2D sine filter. The proposed approach tracks the target's slow-time and fast-time frequencies by a regulation loop, which progressively adjusts the filter's center frequency to the target location. We demonstrate that the proposed approach extracts better features in both single- and multi-target scenarios, leading to improved classification accuracy in gait classification problems using radars. Furthermore, the proposed time domain feature extraction approach facilitates the use of a parametric neural network that works directly on time domain data.

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APA:

Stadelmayer, T., Santra, A., Stadelmayer, M., Weigel, R., & Lurz, F. (2021). Improved Target Detection and Feature Extraction using a Complex-Valued Adaptive Sinc Filter on Radar Time Domain Data. In 29TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2021) (pp. 1745-1749). , ELECTR NETWORK: KESSARIANI: EUROPEAN ASSOC SIGNAL SPEECH & IMAGE PROCESSING-EURASIP.

MLA:

Stadelmayer, Thomas, et al. "Improved Target Detection and Feature Extraction using a Complex-Valued Adaptive Sinc Filter on Radar Time Domain Data." Proceedings of the 29th European Signal Processing Conference (EUSIPCO), , ELECTR NETWORK KESSARIANI: EUROPEAN ASSOC SIGNAL SPEECH & IMAGE PROCESSING-EURASIP, 2021. 1745-1749.

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