Exploring Channel Estimation and Signal Detection for ODDM-Based ISAC Systems

Dezhi Wang, Chongwen Huang, Lei Liu, Xiaoming Chen, Wei Wang, Zhaoyang Zhang, Chau Yuen, Merouane Debbah

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Inspired by providing reliable communications for high-mobility scenarios, in this letter, we investigate the channel estimation and signal detection in integrated sensing and communication (ISAC) systems based on the orthogonal delay-Doppler multiplexing (ODDM) modulation, which consists of a pulse-train that can achieve the orthogonality with respect to the resolution of the delay-Doppler (DD) plane. To enhance the communication performance in the ODDM-based ISAC systems, we first propose a low-complexity approximation algorithm for channel estimation, which addresses the challenge of the high complexity from high resolution in the ODDM modulation, and achieves performance close to that of the maximum likelihood estimator scheme. Then, we employ the orthogonal approximate message-passing scheme to detect the symbols in the communication process based on the estimated channel information. Finally, simulation results show that the detection performance of ODDM is better than other multi-carrier modulation schemes. Specifically, the ODDM outperforms the orthogonal time frequency space scheme by 2.3 dB when the bit error ratio is 10-6.

    Original languageBritish English
    Pages (from-to)2270-2274
    Number of pages5
    JournalIEEE Wireless Communications Letters
    Volume13
    Issue number8
    DOIs
    StatePublished - 2024

    Keywords

    • Channel estimation
    • Delays
    • Indexes
    • integrated sensing and communication
    • Modulation
    • OFDM
    • orthogonal delay-Doppler division multiplexing
    • Receivers
    • signal detection
    • Symbols

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