Literature Database Entry

wu2025subspace-based

Qinran Wu, "A Subspace-based Estimation Algorithm for Multi-band Splicing," Master's Thesis, School of Electrical Engineering and Computer Science (EECS), TU Berlin (TUB), August 2025. (Advisor: Sigrid Dimce; Referees: Falko Dressler and Thomas Sikora)

Abstract

In recent years, multi-band splicing technology has emerged as a promising solution for supporting systems such as Joint Sensing and Communication (JSAC) systems, especially those requiring high-precision sensing capabilities. This technique stands out by eliminating the need to occupy an entire wide spectrum to obtain high- resolution Channel State Information (CSI). However, few studies have examined its effectiveness under limited spectrum availability—specifically, whether combining measurements from several narrow bands (whose total bandwidth is smaller than that of a single wideband) can achieve comparable performance to conventional wideband methods. In this thesis, we investigate a multi-band splicing approach, called Multi-Band Weighted Delay Estimation (MBWDE) algorithm [1]. This is a weighted subspace-based method for estimating Channel Impulse Response (CIR) from Channel Frequency Response (CFR) data. We first validated the algorithm under different sub-band configurations, visualizing the estimated results of CIR and comparing them with the reference CIR. To explore the algorithm's applicability in realistic congested environments, we further evaluate its performance under different bandwidth availability scenarios, using the correlation coefficient between the estimated and reference CIRs as the main metric. Our validation results show that the MBWDE algorithm can accurately estimate several dominant peaks in the CIR. In terms of evaluation, we discuss how different parameters would affect the algorithm’s performance. This work provides an initial assessment of the MBWDE algorithm’s capabilities and limitations—highlighting its challenges in reconstructing full CIR sequences and the modeling errors that may arise under certain conditions, but also demonstrating its potential to maintain robust performance even with insufficient spectral resources.

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Qinran Wu

BibTeX reference

@phdthesis{wu2025subspace-based,
    author = {Wu, Qinran},
    title = {{A Subspace-based Estimation Algorithm for Multi-band Splicing}},
    advisor = {Dimce, Sigrid},
    institution = {School of Electrical Engineering and Computer Science (EECS)},
    location = {Berlin, Germany},
    month = {8},
    referee = {Dressler, Falko and Sikora, Thomas},
    school = {TU Berlin (TUB)},
    type = {Master's Thesis},
    year = {2025},
   }
   
   

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Last modified: 2026-04-21