Overdemodulation-Aided One-Bit DoA Estimation

direction of arrival (DoA) estimation; One-bit quantization; Overdemodulation; sparse linear arrays; Analog to digital converters; Communications systems; Direction of arrival estimation; Downconversion; Quadrature demodulation; Sensing systems; Sinusoidal signals; Sparse linear arrays; Control and Systems Engineering; Signal Processing; Electrical and Electronic Engineering

Abstract :

[en] Sensing and communication systems commonly employ quadrature demodulation for signal down-conversion to baseband, using two orthogonal sinusoidal signals-an approach well-suited for systems equipped with high-resolution Analog-to-Digital Converters (ADCs). However, the performance of this approach is compromised when constrained to one-bit resolution ADCs. Motivated by this fact, in this paper, we explore the problem of one-bit DoA estimation, where the received signal is deliberately overdemodulated using multiple offset sinusoidal signals in the coherent analog down conversion before being processed by a one-bit ADC. Through numerical analysis, we reveal that the overdemodulation technique substantially enhances the accuracy of one-bit DoA estimation.

Disciplines :

Electrical & electronics engineering

Author, co-author :

Sedighi, Saeid; Valeo Schalter und Sensoren GmbH, Germany

OTTERSTEN, Björn ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PI Ottersten

MYSORE RAMA RAO, Bhavani Shankar ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC

External co-authors :

yes

Language :

English

Title :

Overdemodulation-Aided One-Bit DoA Estimation

Publication date :

2024

Event name :

2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM)

Event place :

Corvallis, Usa

Event date :

08-07-2024 => 11-07-2024

Main work title :

2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop, SAM 2024

Publisher :

IEEE Signal Processing Society

ISBN/EAN :

9798350344813

Peer reviewed :

Peer reviewed

Additional URL :

http://xplorestaging.ieee.org/ielx8/10636308/10636358/10636601.pdf?arnumber=10636601

Funding text :

This work is supported by the Luxembourg National Research Fund (FNR) under the SENCOM project (C20/IS/14799710/SENCOM).

Available on ORBilu :

since 10 March 2026

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