Unimodular sequence design with good local auto- and cross-ambiguity function for MSPSR system

Tianjun Liu; Pingzhi Fan; Zhengchun Zhou; Yong Liang Guan

doi:10.1109/VTCSpring.2019.8746293

Unimodular sequence design with good local auto- and cross-ambiguity function for MSPSR system

Tianjun Liu, Pingzhi Fan, Zhengchun Zhou, Yong Liang Guan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

16 Citations (Scopus)

Abstract

This paper focuses on designing a set of dedicated sequences for Multi-Static Primary Surveillance Radar (MSPSR) systems. An efficient algorithm to generate a set of unimodular sequences with good local auto-ambiguity functions (AFs) and cross-AFs over specific Doppler bins and delay bins of interest is proposed. The performance of the proposed algorithm is evaluated in comparison with a prior art called the energy gradient method via numerical simulation. The numerical results show that the newly generated sequences possess lower maximum sidelobe in the area of interest.

Original language	English
Title of host publication	2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728112176
DOIs	https://doi.org/10.1109/VTCSpring.2019.8746293
Publication status	Published - Apr 2019
Externally published	Yes
Event	89th IEEE Vehicular Technology Conference, VTC Spring 2019 - Kuala Lumpur, Malaysia Duration: Apr 28 2019 → May 1 2019

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2019-April
ISSN (Print)	1550-2252

Conference

Conference	89th IEEE Vehicular Technology Conference, VTC Spring 2019
Country/Territory	Malaysia
City	Kuala Lumpur
Period	4/28/19 → 5/1/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

ASJC Scopus Subject Areas

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Access to Document

10.1109/VTCSpring.2019.8746293

Cite this

Liu, T., Fan, P., Zhou, Z., & Guan, Y. L. (2019). Unimodular sequence design with good local auto- and cross-ambiguity function for MSPSR system. In 2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings Article 8746293 (IEEE Vehicular Technology Conference; Vol. 2019-April). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCSpring.2019.8746293

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title = "Unimodular sequence design with good local auto- and cross-ambiguity function for MSPSR system",

abstract = "This paper focuses on designing a set of dedicated sequences for Multi-Static Primary Surveillance Radar (MSPSR) systems. An efficient algorithm to generate a set of unimodular sequences with good local auto-ambiguity functions (AFs) and cross-AFs over specific Doppler bins and delay bins of interest is proposed. The performance of the proposed algorithm is evaluated in comparison with a prior art called the energy gradient method via numerical simulation. The numerical results show that the newly generated sequences possess lower maximum sidelobe in the area of interest.",

author = "Tianjun Liu and Pingzhi Fan and Zhengchun Zhou and Guan, {Yong Liang}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 89th IEEE Vehicular Technology Conference, VTC Spring 2019 ; Conference date: 28-04-2019 Through 01-05-2019",

year = "2019",

month = apr,

doi = "10.1109/VTCSpring.2019.8746293",

language = "English",

series = "IEEE Vehicular Technology Conference",

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Liu, T, Fan, P, Zhou, Z & Guan, YL 2019, Unimodular sequence design with good local auto- and cross-ambiguity function for MSPSR system. in 2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings., 8746293, IEEE Vehicular Technology Conference, vol. 2019-April, Institute of Electrical and Electronics Engineers Inc., 89th IEEE Vehicular Technology Conference, VTC Spring 2019, Kuala Lumpur, Malaysia, 4/28/19. https://doi.org/10.1109/VTCSpring.2019.8746293

Unimodular sequence design with good local auto- and cross-ambiguity function for MSPSR system. / Liu, Tianjun; Fan, Pingzhi; Zhou, Zhengchun et al.
2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8746293 (IEEE Vehicular Technology Conference; Vol. 2019-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - This paper focuses on designing a set of dedicated sequences for Multi-Static Primary Surveillance Radar (MSPSR) systems. An efficient algorithm to generate a set of unimodular sequences with good local auto-ambiguity functions (AFs) and cross-AFs over specific Doppler bins and delay bins of interest is proposed. The performance of the proposed algorithm is evaluated in comparison with a prior art called the energy gradient method via numerical simulation. The numerical results show that the newly generated sequences possess lower maximum sidelobe in the area of interest.

AB - This paper focuses on designing a set of dedicated sequences for Multi-Static Primary Surveillance Radar (MSPSR) systems. An efficient algorithm to generate a set of unimodular sequences with good local auto-ambiguity functions (AFs) and cross-AFs over specific Doppler bins and delay bins of interest is proposed. The performance of the proposed algorithm is evaluated in comparison with a prior art called the energy gradient method via numerical simulation. The numerical results show that the newly generated sequences possess lower maximum sidelobe in the area of interest.

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M3 - Conference contribution

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T3 - IEEE Vehicular Technology Conference

BT - 2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 89th IEEE Vehicular Technology Conference, VTC Spring 2019

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Unimodular sequence design with good local auto- and cross-ambiguity function for MSPSR system

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Access to Document

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