On the use of high order ambiguity function for multicomponent polynomial phase signals

Yang Wang; Guotong Zhou

On the use of high order ambiguity function for multicomponent polynomial phase signals

Yang Wang^*, Guotong Zhou

^*Corresponding author for this work

Research output: Contribution to journal › Conference article published in journal › peer-review

6 Citations (Scopus)

Abstract

Nonstationary signals appear often in real-life applications and many of them can be modeled as polynomial phase signals (PPS). High-order ambiguity function (HAF) was first introduced to estimate the parameters of a single component PPS. But due to its high nonlinearity, HAF has not been widely used for multi-component PPS which appear for example, in Doppler radar applications when multiple targets are tracked simultaneously. We present a theory in this paper that HAF is virtually additive for multi-component PPS and illustrate our findings with numerical simulations.

Original language	English
Pages (from-to)	3629-3632
Number of pages	4
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	5
Publication status	Published - 1997
Externally published	Yes
Event	Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 5) - Munich, Ger Duration: 21 Apr 1997 → 24 Apr 1997

Cite this

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title = "On the use of high order ambiguity function for multicomponent polynomial phase signals",

abstract = "Nonstationary signals appear often in real-life applications and many of them can be modeled as polynomial phase signals (PPS). High-order ambiguity function (HAF) was first introduced to estimate the parameters of a single component PPS. But due to its high nonlinearity, HAF has not been widely used for multi-component PPS which appear for example, in Doppler radar applications when multiple targets are tracked simultaneously. We present a theory in this paper that HAF is virtually additive for multi-component PPS and illustrate our findings with numerical simulations.",

author = "Yang Wang and Guotong Zhou",

year = "1997",

language = "English",

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pages = "3629--3632",

journal = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

issn = "0736-7791",

note = "Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 5) ; Conference date: 21-04-1997 Through 24-04-1997",

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T1 - On the use of high order ambiguity function for multicomponent polynomial phase signals

AU - Wang, Yang

AU - Zhou, Guotong

PY - 1997

Y1 - 1997

N2 - Nonstationary signals appear often in real-life applications and many of them can be modeled as polynomial phase signals (PPS). High-order ambiguity function (HAF) was first introduced to estimate the parameters of a single component PPS. But due to its high nonlinearity, HAF has not been widely used for multi-component PPS which appear for example, in Doppler radar applications when multiple targets are tracked simultaneously. We present a theory in this paper that HAF is virtually additive for multi-component PPS and illustrate our findings with numerical simulations.

AB - Nonstationary signals appear often in real-life applications and many of them can be modeled as polynomial phase signals (PPS). High-order ambiguity function (HAF) was first introduced to estimate the parameters of a single component PPS. But due to its high nonlinearity, HAF has not been widely used for multi-component PPS which appear for example, in Doppler radar applications when multiple targets are tracked simultaneously. We present a theory in this paper that HAF is virtually additive for multi-component PPS and illustrate our findings with numerical simulations.

UR - https://www.scopus.com/pages/publications/0030676961

M3 - Conference article published in journal

AN - SCOPUS:0030676961

SN - 0736-7791

VL - 5

SP - 3629

EP - 3632

JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

T2 - Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 5)

Y2 - 21 April 1997 through 24 April 1997

ER -

On the use of high order ambiguity function for multicomponent polynomial phase signals

Abstract

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