Efficient Optimization of the Ambiguity Functions of Multi-Static radar waveforms

F. Arlery; R. Kassab; U. Tan; F. Lehmann

doi:10.1109/IRS.2016.7738627

Efficient Optimization of the Ambiguity Functions of Multi-Static radar waveforms

F. Arlery
, R. Kassab
, U. Tan
, F. Lehmann

Résultats de recherche: Contribution à un journal › Article de conférence › Revue par des pairs

Résumé

This paper deals with the local optimization of the periodic or aperiodic ambiguity functions of a set of complex sequences by using a gradient method. This optimization aims to locally minimize the cross-ambiguity and the auto-ambiguity functions of a family of sequences for Multi-Static Primary Surveillance Radar (MSPSR) systems. The optimization of the ambiguity functions is done by an optimized gradient. An extension is also presented for controlling both the spectrum and the ambiguity functions.

langue originale	Anglais
journal	Proceedings International Radar Symposium
Les DOIs	https://doi.org/10.1109/IRS.2016.7738627
état	Publié - 1 janv. 2016
Modification externe	Oui
Evénement	17th International Radar Symposium, IRS 2016 - Krakow, Pologne Durée: 10 mai 2016 → 12 mai 2016

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10.1109/IRS.2016.7738627

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title = "Efficient Optimization of the Ambiguity Functions of Multi-Static radar waveforms",

abstract = "This paper deals with the local optimization of the periodic or aperiodic ambiguity functions of a set of complex sequences by using a gradient method. This optimization aims to locally minimize the cross-ambiguity and the auto-ambiguity functions of a family of sequences for Multi-Static Primary Surveillance Radar (MSPSR) systems. The optimization of the ambiguity functions is done by an optimized gradient. An extension is also presented for controlling both the spectrum and the ambiguity functions.",

keywords = "Auto-ambiguity functions, Complex sequence sets, Cross-ambiguity functions, Gradient descent, MIMO, MSPSR, Spectrum design, Waveform design",

author = "F. Arlery and R. Kassab and U. Tan and F. Lehmann",

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doi = "10.1109/IRS.2016.7738627",

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AU - Kassab, R.

AU - Tan, U.

AU - Lehmann, F.

PY - 2016/1/1

Y1 - 2016/1/1

N2 - This paper deals with the local optimization of the periodic or aperiodic ambiguity functions of a set of complex sequences by using a gradient method. This optimization aims to locally minimize the cross-ambiguity and the auto-ambiguity functions of a family of sequences for Multi-Static Primary Surveillance Radar (MSPSR) systems. The optimization of the ambiguity functions is done by an optimized gradient. An extension is also presented for controlling both the spectrum and the ambiguity functions.

AB - This paper deals with the local optimization of the periodic or aperiodic ambiguity functions of a set of complex sequences by using a gradient method. This optimization aims to locally minimize the cross-ambiguity and the auto-ambiguity functions of a family of sequences for Multi-Static Primary Surveillance Radar (MSPSR) systems. The optimization of the ambiguity functions is done by an optimized gradient. An extension is also presented for controlling both the spectrum and the ambiguity functions.

KW - Auto-ambiguity functions

KW - Complex sequence sets

KW - Cross-ambiguity functions

KW - Gradient descent

KW - MIMO

KW - MSPSR

KW - Spectrum design

KW - Waveform design

UR - https://www.scopus.com/pages/publications/105027865404

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DO - 10.1109/IRS.2016.7738627

M3 - Conference article

AN - SCOPUS:105027865404

SN - 2155-5745

JO - Proceedings International Radar Symposium

JF - Proceedings International Radar Symposium

T2 - 17th International Radar Symposium, IRS 2016

Y2 - 10 May 2016 through 12 May 2016

ER -

Efficient Optimization of the Ambiguity Functions of Multi-Static radar waveforms

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