Adaptive Dual-Windowing Strategies for Multi-Target Detection in OFDM ISAC
Ali Al Khansa, Youssef Bahannis

TL;DR
This paper introduces an adaptive dual-windowing approach for multi-target detection in OFDM ISAC systems, balancing resolution and sidelobe suppression to improve detection accuracy and reduce complexity.
Contribution
It proposes a novel dual-window periodogram algorithm with a decision mechanism that adaptively switches between resolution and suppression optimized windows.
Findings
Achieves high detection performance at high SNR
Reduces computational complexity compared to fixed strategies
Effectively balances resolution and sidelobe suppression
Abstract
In Orthogonal Frequency Division Multiplexing (OFDM) Integrated Sensing and Communication (ISAC) systems, a key challenge is balancing sidelobe attenuation and resolution for multi-target detection scenarios. While windowing functions are typically used to manage this trade-off, state-of-the-art methods rely on a single, fixed window followed by a predefined detection strategy (e.g., Binary Successive Target Cancellation (BSTC) (low complexity) or Coherent Successive Target Cancellation (CSTC) (high performance)). This paper proposes a novel dual-window periodogram-based algorithm that leverages two complementary windows: one optimized for resolution and the other for sidelobe suppression. Then, a low-complexity detection algorithm (e.g., BSTC) is applied to both, and a decision mechanism compares the outputs. When results align, the resolution-optimized estimates are directly used;…
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Taxonomy
TopicsRadar Systems and Signal Processing · Distributed Sensor Networks and Detection Algorithms · Direction-of-Arrival Estimation Techniques
