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arxiveess.SP2026-07-19

An Enhanced MNOMP for Line Spectrum Estimation and Detection

Yulin Jiang, Jiang Zhu, Fengzhong Qu, Yonina C. Eldar

Multisnapshot Newtonized orthogonal matching pursuit (MNOMP) incorporates Newton's method into OMP to avoid the off-grid issues, achieve high accuracy, high resolution and fast line spectrum estimation with multiple measurement vectors. It employs the generalized likelihood ratio test (GLRT) with a constant false alarm rate (CFAR) criterion to determine the number of sinusoids. In this paper, we develop an enhanced MNOMP (EMNOMP) by analyzing the statistical distribution of the exact GLRT statistic. In contrast to MNOMP, which approximates the GLRT by restricting the search to discrete Fourier transform (DFT) grid frequencies, EMNOMP instead solves the GLRT over the continuous frequency domain. The key technical novelty is the derivation of the false alarm probability for this continuous-domain GLRT using chi-squared random field theory and the resulting closed-form threshold via the Lambert W function. The signal-to-noise ratio (SNR) gain of EMNOMP relative to MNOMP is derived and analyzed in depth. Numerical simulations validate the theoretical analysis and the effectiveness of EMNOMP compared to MNOMP.

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arxivcs.ITcs.AIeess.SP2026-06-27

Brownian Bridge Diffusion-Based Joint Channel Estimation and Data Detection for Jamming-Resilient Receivers

Honghan She, Yufan Cheng, Tieming Sun, Pengyu Wang, Siya Huang, Kaikai Yang

In next-generation wireless networks, the growing density of devices and limited spectrum resources pose severe jamming challenges to fragile legitimate communication links in the wireless electromagnetic environment. Crucially, when jamming overlaps with pilot and data symbols i…

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arxiveess.SP2026-07-21

Semantic-Aware Data-Aided Channel Estimation with Large Language Models for MIMO Systems

Sojeong Park, Jaehyun Choi, Hyun Jong Yang

Data-aided channel estimation enhances spectral efficiency by reusing detected symbols as virtual pilots. In this process, selecting only reliable symbols is crucial to prevent misdetected symbols from corrupting the channel estimate. However, conventional methods rely exclusivel…

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arxiveess.SP2026-07-10

Multi-Domain Iterative Detection for Massive Connectivity in LEO Satellite Networks

Xinhua Liu, Yueqing Wang, Keke Ying, Peihu Duan, Dapeng Li, Ziwei Wan, et al.

Grant-Free (GF) random access is promising for low Earth orbit satellite Internet due to its reduced access latency. However, existing schemes suffer from poor performance in massive connectivity scenarios. To address this challenge, we firstly propose an iterative residual feedb…

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arxivcs.ITeess.SP2026-07-09

Multiuser Zak-OTFS on the Uplink with Superimposed Spread-Pilots

Sai Pradeep Muppaneni, Ananthanarayanan Chockalingam

In this paper, we consider the uplink of a multiuser Zak-OTFS system comprising users with heterogeneous delay-Doppler (DD) periods/frame sizes. Multiple access is achieved through time-frequency (TF) shifts that place the users in non-overlapping regions of the TF plane. Closed-…

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arxiveess.SP2026-07-14

AFDM-FTN: A Spectrally Efficient Waveform for High-Mobility Communications

Xianle Dai, Qu Luo, Jianguo Li, Fabien Heliot, Shuangyang Li, Lixia Xiao, et al.

This paper proposes an affine frequency division multiplexing (AFDM)-aided faster-than-Nyquist (FTN) waveform, termed AFDM-FTN, to enhance spectral efficiency (SE) in high-mobility communication scenarios. We first derive the AFDM-FTN input-output relationship and analyze the FTN…

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