Simplified OTFS-based IDZT-DZT-LMMSEE for robust high-doppler channel estimation in V2X-joint RADCOM system
Khaireddine Zarai (),
Jean-Guy Alex Fontaine (),
Ge Quanbo,
Nazim Agoulmine and
Jianping Zhang
Additional contact information
Khaireddine Zarai: Jean-Guy International Lab, Zhejiang (Shaoxing) High Level Foreign Expert Center
Jean-Guy Alex Fontaine: Jean-Guy International Lab, Zhejiang (Shaoxing) High Level Foreign Expert Center
Ge Quanbo: Nanjing University of Information Science and Technology
Nazim Agoulmine: Jean-Guy International Lab, Zhejiang (Shaoxing) High Level Foreign Expert Center
Jianping Zhang: Jean-Guy International Lab, Zhejiang (Shaoxing) High Level Foreign Expert Center
Telecommunication Systems: Modelling, Analysis, Design and Management, 2025, vol. 88, issue 4, No 15, 22 pages
Abstract:
Abstract This paper addresses the high mobility channel issue for vehicle-to-everything (V2X) joint Radar-Communication (Radcom) systems, a phenomenon that is commonly referred to as high-Doppler channel estimation. In high-Doppler channels, coherence time is reduced by rapid channel variations. V2X Radcom systems are subject to multiple reflections of the transmitted signals, with vehicle motion causing high-Doppler multipath shifts. This results in residual Inter-Symbol Interference (ISI) and, as a consequence, Inter-Carrier Interference (ICI). In this paper, we introduce a Simplified Orthogonal Time-Frequency Space (S-OTFS) modulation based on an Inverse Discrete Zak Transform (IDZT) and Discrete Zak Transform (DZT), joined with a Linear Minimum Mean Square Error Equalizer (LMMSEE), denoted as IDZT-DZT-LMMSEE. This approach is proposed as a solution to the challenges posed by V2X communications in a Radcom system, which utilizes the Orthogonal Frequency Division Multiplexing (OFDM) and standard Orthogonal Time-Frequency Space (OTFS) modulations. These modulations are susceptible to encountering challenges in high Doppler channels due to their inability to effectively cancel the ICI phenomenon and processing latency. The S-OTFS joint Radcom based on IDZT-DZT-LMMSEE approach exhibits superior ICI suppression capabilities up to ~ 85% in the delay-Doppler (DD) domain in high mobility channels with a relative Doppler shift up to 2162 Hz in the presence of multi-path scenarios. The innovative Radcom V2X system demonstrates superior performance, as evidenced by the experimental results. The framework was validated based on tests involving three vehicles operating at different high speeds. Compared to standard OTFS techniques and OFDM variants, the proposed approach achieves a highly desirable 11.40% reduction in error vector magnitude root mean square (EVM RMS) and a 2 × 10⁻⁴bit error rate (BER) reduction with 32-QAM modulation at a fixed SNR of 25 dB, and a reduced peak-to-average power ratio (PAPR) of 7.8 dB. Real-world speed scenarios using the MATLAB software development framework provide convincing evidence that the proposed S-OTFS approach is an effective solution for high-speed vehicle detection and communication, even in the presence of high Doppler channels.
Keywords: Radcom; V2X; High doppler channel; OFDM; Standard OTFS; S-OTFS (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11235-025-01359-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:telsys:v:88:y:2025:i:4:d:10.1007_s11235-025-01359-y
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/11235
DOI: 10.1007/s11235-025-01359-y
Access Statistics for this article
Telecommunication Systems: Modelling, Analysis, Design and Management is currently edited by Muhammad Khan
More articles in Telecommunication Systems: Modelling, Analysis, Design and Management from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().