ITITApr 16

Five Constructions of Asymptotically Optimal Aperiodic Doppler Resilient Complementary Sequence Sets with New Parameters

arXiv:2604.1540361.5h-index: 8
AI Analysis

This work provides new sequence sets for radar and communication systems that improve ambiguity function sidelobe suppression, offering better parameters than prior constructions.

The paper constructs five classes of asymptotically optimal aperiodic Doppler resilient complementary sequence sets (DRCSSs) with novel parameters using trace functions and column orthogonal complex matrices, achieving superior or novel parameters compared to existing DRCSSs, with PAPR upper bounded by p for three families.

Sequences exhibiting favorable ambiguity function characteristics play a critical role in radar detection systems and modern mobile communication applications. As a newly developed sequence family, Doppler resilient complementary sequence sets (DRCSSs) can effectively suppress ambiguity function sidelobes by coherently combining the ambiguity functions of their constituent subsequences. The objective of this paper is to present five classes of asymptotically optimal aperiodic DRCSSs with novel parameters based on trace functions over finite fields and column orthogonal complex matrices. Compared with existing asymptotically optimal aperiodic DRCSSs in the literature, the proposed aperiodic DRCSSs deliver superior or novel parameters. Notably, for three families of the constructed aperiodic DRCSSs, the column sequence peak-to-average power ratio (PAPR) is upper bounded by p by selecting suitable column orthogonal complex matrices.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes