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Multi-Frame Superposition Framework for OTFS-Based ISAC System: A Low Complexity Parameter Estimation Approach

delete2025-08-20
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PRE
AI
J
Jianyu Zhu
梁
梁静 (Jing Liang) *
DOI：10.1016/j.dsp.2025.105540delete
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Abstract

Abstract

En 中文
• Proposed a 2D correlation structure with multi-frame superposition for OTFS-based ISAC systems, reducing parameter estimation complexity. • Developed ML-MFS and WOA-MFS algorithms for efficient range and velocity estimation, enhancing accuracy in multi-target scenarios. • Derived CRLB for theoretical benchmarking and validated the superior performance of ML-MFS and WOA-MFS over conventional methods.
Keywords:
OTFS
ISAC
multi-frame superposition
ML-MFS
WOA-MFS

Journal

Signal Processing cover
Signal Processing
IF:
3.6
Papers:
9.9K
Citations:
1.7W

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No organization information available