Compressive Direction of Arrival Estimation with Wave-chaotic Antennas

• Published in: 2022 Photonics & Electromagnetics Research Symposium (PIERS) pp. 403 - 408
• Main Authors: Yurduseven, O., Hoang, T. V., Abbasi, M. A. B., Fusco, V.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 25-04-2022
• Subjects: Channel estimation; Computer architecture; Data acquisition; Direction-of-arrival estimation; Directive antennas; Estimation; Physical layer
• ISSN: 1559-9450
• DOI: 10.1109/PIERS55526.2022.9792721

We present the compressive sensing technique in the context of single-pixel computational direction of arrival estimation (DoA) at millimeter-wave (mmW) frequencies. It is shown that the physical layer compression achieved using wave-chaotic antennas can substantially reduce the number of channels for DoA estimation. The compressive DoA concept is verified using two wave-chaotic antenna paradigms; frequency-diversity and dynamic aperture, and a comparison between the two modalities is studied. The presented compressive DoA concept facilitates DoA estimation of an arbitrary number of far-field sources using a single data acquisition channel and is robust to noise. As a practical application, we successfully demonstrate the simultaneous DoA estimation of 10 far-field sources with a signal-to-noise (SNR) level of as low as 0 dB.