Channel parameter estimation; Debris sensing; LEO Constellation; SAGE; stochastic geometry; Software; Signal Processing; Electrical and Electronic Engineering
Abstract :
[en] Space debris detection and tracking, a key enabler for Space Situational Awareness (SSA), poses two inherent challenges: (1) small-sized targets (e.g., 1 - 10 cm) posing detection difficulties for conventional ground-based radars (GBRs) and optical measurements; (2) large number resulting in a costly tracking exercise. To address these, this work utilizes intersatellite link (ISL) in the emerging low earth orbit (LEO) constellations to opportunistically sense debris. The spatially dense-distributed debris is modeled as a cluster to reduce the number of quantities estimated. Using a stochastic geometry-based channel model, a nested expectation-based SAGE2 is proposed, building on space-alternative-generation-estimation-maximization (SAGE) to estimate the cluster-based channel parameters. Finally, the debris clusters are localized using the ISL forming a bistatic sensing setup. Simulation results validate the proposed approach and show the proposed SAGE2 is faster than the conventional SAGE in clustered multipath channels.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SPARC- Signal Processing Applications in Radar and Communications
Disciplines :
Electrical & electronics engineering
Author, co-author :
LIU, Yuan ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
MYSORE RAMA RAO, Bhavani Shankar ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
WU, Linlong ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
OTTERSTEN, Björn ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PI Ottersten
External co-authors :
no
Language :
English
Title :
DEBRIS SENSING BASED ON LEO CONSTELLATION: AN INTERSATELLITE CHANNEL PARAMETER ESTIMATION APPROACH
Publication date :
18 March 2024
Event name :
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Event organizer :
IEEE signal processing society
Event place :
Seoul, South Korea
Event date :
14-04-2024 => 19-04-2024
By request :
Yes
Audience :
International
Main work title :
2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings
Publisher :
Institute of Electrical and Electronics Engineers Inc.
U-AGR-7062 - BRIDGES2020/15407066/MASTERS - MYSORE RAMA RAO Bhavani S
Funders :
The Institute of Electrical and Electronics Engineers Signal Processing Society
Funding text :
This work was supported by the Luxembourg National Research Fund (FNR) through the BRIDGES project MASTERS under grant BRIDGES2020/IS/15407066 and the CORE INTER project SENCOM under grant C20/IS/14799710.
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