Implementation of the algorithm for estimating the parameters of linear frequency modulation radar signals with multiple ADSPs

Li Li; Xi Cai Si; Juan Fang Chai; Wen Wen Zhang

Implementation of the algorithm for estimating the parameters of linear frequency modulation radar signals with multiple ADSPs

Li Li^*
, Xi Cai Si
, Juan Fang Chai
, Wen Wen Zhang

^*Corresponding author for this work

College of Information and Communication Engineering, Harbin Engineering University
Automatization Department

Research output: Contribution to journal › Article › peer-review

Abstract

A platform with 4 ADSP-TS101Ss was used to estimate the parameters of radar signals. This platform made use of an algorithm based on an improved cubic phase function for estimating the parameters of linear frequency modulation (LFM) radar signals. It required a second-order nonlinear transform that yielded the maximization of the parameter field to estimate the parameters. For multi-component LFM signals, this paper discusses the relationship between time and the self-term and cross-term, and proposes a method which effectively constrains cross-terms with weighted means to improve the algorithm. Experiments showed that the method effectively estimates the parameters of multi-component LFM signals in low SNR.

Original language	English
Pages (from-to)	318-322
Number of pages	5
Journal	Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University
Volume	30
Issue number	3
State	Published - Mar 2009
Externally published	Yes

Keywords

Cubic phase function (CPF)
LFM signal
Parameter estimation
Weighted mean

Cite this

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title = "Implementation of the algorithm for estimating the parameters of linear frequency modulation radar signals with multiple ADSPs",

abstract = "A platform with 4 ADSP-TS101Ss was used to estimate the parameters of radar signals. This platform made use of an algorithm based on an improved cubic phase function for estimating the parameters of linear frequency modulation (LFM) radar signals. It required a second-order nonlinear transform that yielded the maximization of the parameter field to estimate the parameters. For multi-component LFM signals, this paper discusses the relationship between time and the self-term and cross-term, and proposes a method which effectively constrains cross-terms with weighted means to improve the algorithm. Experiments showed that the method effectively estimates the parameters of multi-component LFM signals in low SNR.",

keywords = "Cubic phase function (CPF), LFM signal, Parameter estimation, Weighted mean",

author = "Li Li and Si, \{Xi Cai\} and Chai, \{Juan Fang\} and Zhang, \{Wen Wen\}",

year = "2009",

month = mar,

language = "英语",

volume = "30",

pages = "318--322",

journal = "Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University",

issn = "1006-7043",

publisher = "Editorial Board of Journal of Harbin Engineering",

number = "3",

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TY - JOUR

T1 - Implementation of the algorithm for estimating the parameters of linear frequency modulation radar signals with multiple ADSPs

AU - Li, Li

AU - Si, Xi Cai

AU - Chai, Juan Fang

AU - Zhang, Wen Wen

PY - 2009/3

Y1 - 2009/3

N2 - A platform with 4 ADSP-TS101Ss was used to estimate the parameters of radar signals. This platform made use of an algorithm based on an improved cubic phase function for estimating the parameters of linear frequency modulation (LFM) radar signals. It required a second-order nonlinear transform that yielded the maximization of the parameter field to estimate the parameters. For multi-component LFM signals, this paper discusses the relationship between time and the self-term and cross-term, and proposes a method which effectively constrains cross-terms with weighted means to improve the algorithm. Experiments showed that the method effectively estimates the parameters of multi-component LFM signals in low SNR.

AB - A platform with 4 ADSP-TS101Ss was used to estimate the parameters of radar signals. This platform made use of an algorithm based on an improved cubic phase function for estimating the parameters of linear frequency modulation (LFM) radar signals. It required a second-order nonlinear transform that yielded the maximization of the parameter field to estimate the parameters. For multi-component LFM signals, this paper discusses the relationship between time and the self-term and cross-term, and proposes a method which effectively constrains cross-terms with weighted means to improve the algorithm. Experiments showed that the method effectively estimates the parameters of multi-component LFM signals in low SNR.

KW - Cubic phase function (CPF)

KW - LFM signal

KW - Parameter estimation

KW - Weighted mean

UR - https://www.scopus.com/pages/publications/65249160149

M3 - 文章

AN - SCOPUS:65249160149

SN - 1006-7043

VL - 30

SP - 318

EP - 322

JO - Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University

JF - Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University

IS - 3

ER -

Implementation of the algorithm for estimating the parameters of linear frequency modulation radar signals with multiple ADSPs

Abstract

Keywords

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