Abstract
Homodyne-based digital modulators are widely used in navigation satellite systems, such as in the Navigation with Indian Constellation (NavIC). In these systems, the mixer plays a crucial role by up-converting zero-IF complex modulated signals to the desired carrier frequency. However, insufficient port-to-port isolation in the mixer can cause leakage of the local oscillator (LO) carrier into the output, resulting in unwanted in-band signals within the transmitted spectrum. When these leaked signals are amplified by transmit filters and onboard high-power amplifiers, they distort the transmitted navigation signals, impairing system performance. Traditional analytical methods for assessing interference in Global Navigation Satellite Systems (GNSS) often assume ideal signal conditions, mainly focusing on intersystem and intrasystem interference. This paper extends the current interference analysis framework by integrating the effects of carrier leakage and other imperfections specific to homodyne transmitter designs. We introduce a system model for a homodyne transmitter and provide a mathematical representation of the NavIC interplex signal, including in-band carrier leakage. The impact of these imperfections is analyzed by examining the degradation in the effective carrier-to-noise ratio (C/No) and the data demodulation thresholds at the receiver. The proposed methodology allows for a more accurate and practical evaluation of NavIC receiver performance, facilitating improved optimization of modulator designs and effective interference mitigation strategies. These findings are vital for enhancing the robustness and accuracy of NavIC services and advancing efficient GNSS operations in various environments.
Full text
621 characters
· extracted from
oa-doi-fallback
· click to expand
There is a newer version available for this {{ publicationType }}. View latest version
{{ publication.field_name }}
{{ publication.subfield_name }}
Copyright: © {{ publicationYear }} {{ publication.presentation_authors[0].full_name + (publication.presentation_authors.length > 1 ? ' et al' : '') }}. This is an open access publication distributed under the terms of the CC BY 4.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Check the {{ publicationType | capitalize }} Source for copyright and license information.
Listen on
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.