Parameter estimation algorithm for maneuvering targets

J. Tian; G. Yang; J. S. Ding; X. B. Feng; S. B. Dong

Parameter estimation algorithm for maneuvering targets

J. Tian, G. Yang, J. S. Ding, X. B. Feng, S. B. Dong

Research output: Contribution to conference › Paper › peer-review

Abstract

A novel method for parameter estimation of maneuvering targets is proposed in this paper to eliminate the influence of spectrum spread on image focusing. In this method, the received signal in a range cell is modelled as a multicomponent linear frequency modulated (LFM) signal after range compression and motion compensation, and then a new transform, namely, Doppler Lv's transform (LVT) is applied on the azimuth signal to estimate the parameters. The proposed method is capable of obtaining the accurate parameter estimates efficiently in the low signal-to-noise ratio (SNR) scenario with low computational burden and memory cost. Simulation results verify the effectiveness of the proposed method.

Original language	English
Publication status	Published - 2015
Externally published	Yes
Event	IET International Radar Conference 2015 - Hangzhou, China Duration: 14 Oct 2015 → 16 Oct 2015

Conference

Conference	IET International Radar Conference 2015
Country/Territory	China
City	Hangzhou
Period	14/10/15 → 16/10/15

Keywords

Doppler Lv's transform (LVT)
Motion parameter estimation
Spectrum spread

Cite this

@conference{f2740be82b53469eb9d5cc760a5df0f8,

title = "Parameter estimation algorithm for maneuvering targets",

abstract = "A novel method for parameter estimation of maneuvering targets is proposed in this paper to eliminate the influence of spectrum spread on image focusing. In this method, the received signal in a range cell is modelled as a multicomponent linear frequency modulated (LFM) signal after range compression and motion compensation, and then a new transform, namely, Doppler Lv's transform (LVT) is applied on the azimuth signal to estimate the parameters. The proposed method is capable of obtaining the accurate parameter estimates efficiently in the low signal-to-noise ratio (SNR) scenario with low computational burden and memory cost. Simulation results verify the effectiveness of the proposed method.",

keywords = "Doppler Lv's transform (LVT), Motion parameter estimation, Spectrum spread",

author = "J. Tian and G. Yang and Ding, {J. S.} and Feng, {X. B.} and Dong, {S. B.}",

year = "2015",

language = "English",

note = "IET International Radar Conference 2015 ; Conference date: 14-10-2015 Through 16-10-2015",

}

TY - CONF

T1 - Parameter estimation algorithm for maneuvering targets

AU - Tian, J.

AU - Yang, G.

AU - Ding, J. S.

AU - Feng, X. B.

AU - Dong, S. B.

PY - 2015

Y1 - 2015

N2 - A novel method for parameter estimation of maneuvering targets is proposed in this paper to eliminate the influence of spectrum spread on image focusing. In this method, the received signal in a range cell is modelled as a multicomponent linear frequency modulated (LFM) signal after range compression and motion compensation, and then a new transform, namely, Doppler Lv's transform (LVT) is applied on the azimuth signal to estimate the parameters. The proposed method is capable of obtaining the accurate parameter estimates efficiently in the low signal-to-noise ratio (SNR) scenario with low computational burden and memory cost. Simulation results verify the effectiveness of the proposed method.

AB - A novel method for parameter estimation of maneuvering targets is proposed in this paper to eliminate the influence of spectrum spread on image focusing. In this method, the received signal in a range cell is modelled as a multicomponent linear frequency modulated (LFM) signal after range compression and motion compensation, and then a new transform, namely, Doppler Lv's transform (LVT) is applied on the azimuth signal to estimate the parameters. The proposed method is capable of obtaining the accurate parameter estimates efficiently in the low signal-to-noise ratio (SNR) scenario with low computational burden and memory cost. Simulation results verify the effectiveness of the proposed method.

KW - Doppler Lv's transform (LVT)

KW - Motion parameter estimation

KW - Spectrum spread

UR - http://www.scopus.com/inward/record.url?scp=84973545807&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84973545807

T2 - IET International Radar Conference 2015

Y2 - 14 October 2015 through 16 October 2015

ER -

Parameter estimation algorithm for maneuvering targets

Abstract

Conference

Keywords

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