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空间通信载波多普勒频偏捕获的两阶段稀疏算法

张兆维 刘琳 刘慧 吴同 朱明蕾 潘甦

物联网学报2024,Vol.8Issue(2):36-45,10.
物联网学报2024,Vol.8Issue(2):36-45,10.DOI:10.11959/j.issn.2096-3750.2024.00371

空间通信载波多普勒频偏捕获的两阶段稀疏算法

Two-stage-sparse algorithm for carrier Doppler-shift acquisition in space communications

张兆维 1刘琳 2刘慧 3吴同 2朱明蕾 4潘甦2

作者信息

  • 1. 南京邮电大学物联网学院,江苏 南京 210003||南京大学计算机软件新技术全国重点实验室,江苏 南京 210023
  • 2. 南京邮电大学物联网学院,江苏 南京 210003
  • 3. 金陵科技学院软件工程学院,江苏 南京 211169
  • 4. 南京邮电大学通达学院计算机工程学院,江苏 扬州 225127
  • 折叠

摘要

Abstract

In space communications,the signal faces long-distance transmission and a high-dynamic relative movement.The long-distance transmission results in a very low signal-to-noise ratio(SNR)and the high-dynamic relative movement causes a high-dynamic Doppler-shift on the carrier.To address the low SNR,the traditional acquisition method requires the long-time accumulation of many received signals.However,during the long-time accumulation,the high-dynamic Doppler-shift causes the serious energy dispersion problem.To solve the problem,a two-stage-sparse(TSS)algorithm was proposed to acquire the Doppler-shift.The proposed TSS algorithm firstly used the coarse acquisitions to construct a coarse sparse-search-range,then selected some large elements to construct a fine sparse-search-range,and finally searched the largest element as the acquisition result.Because the sparse-search-range only covers a narrow frequency range,the TSS algorithm excludes more noise elements,thus allowing the signal element to become the largest element.The theoretical analysis and simulation results show that the proposed TSS algorithm significantly increases the acquisition probability.

关键词

空间通信/低信噪比/高动态多普勒频偏/捕获/能量扩散

Key words

space communication/low SNR/high-dynamic Doppler-shift/acquisition/energy dispersion

分类

信息技术与安全科学

引用本文复制引用

张兆维,刘琳,刘慧,吴同,朱明蕾,潘甦..空间通信载波多普勒频偏捕获的两阶段稀疏算法[J].物联网学报,2024,8(2):36-45,10.

基金项目

国家自然科学基金项目(No.61801236) (No.61801236)

江苏省研究生科研与实践创新计划项目(No.SJCX23_0288) (No.SJCX23_0288)

南京大学计算机软件新技术全国重点实验室资助项目(No.KFKT2024B41) The National Natural Science Foundation of China(No.61801236),The Postgraduate Research and Practice Innovation Program of Jiangsu Province(No.SJCX23_0288),The Foundation of State Key Laboratory for Novel Software Technol-ogy(No.KFKT2024B41) (No.KFKT2024B41)

物联网学报

OACSTPCD

2096-3750

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