Low-Complexity Matched Filters Removing ISI/ICI of OTFS Radar Using Partial FFT
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초록

Orthogonal time-frequency space (OTFS) modulation is a promising option for its capability of integrated sensing and communication in high-mobility scenarios. However, the high computational complexity (CC) of the OTFS receiver is required to detect target signals with severe inter-carrier interference and inter-symbol interference. Therefore, we propose a low-complexity matched filter for the OTFS radar by considering three search modes for target detection in delay-Doppler (DD) domain: 1) total search to detect target with long delay and high Doppler frequency shift, 2) partial search for fast computation, 3) dense-grid partial search to reduce the straddle loss which occurs due to mismatch in target parameters and DD grid. By using the partial fast Fourier transform, CC of the proposed methods is significantly reduced compared to the conventional MF. In addition, the simulation with the proposed dense-grid partial search results in enhanced probability of detection, showing the trade-off between computations and radar performance.

키워드

computational complexity (CC)matched filter (MF)orthogonal time-frequency space (OTFS) modulationpartial fast Fourier transform
제목
Low-Complexity Matched Filters Removing ISI/ICI of OTFS Radar Using Partial FFT
저자
Park, Jeong-hoonLee, Jong-HoLee, SeongwookKim, Seong-Cheol
DOI
10.1109/TVT.2026.3668407
발행일
2026
유형
Article
저널명
IEEE Transactions on Vehicular Technology