Adaptive selection of sampling interval in frequency domain for estimating the poles of scatterers

被引：0

作者：

Wang, Shaogang ^{[1
]}

Guan, Xinpu ^{[1
]}

Wang, Dangwei ^{[1
]}

Ma, Xingyi ^{[1
]}

Su, Yi ^{[1
]}

机构：

[1] Natl Univ Def Technol, Sch Elect Sci & Technol, Changsha 410073, Peoples R China

来源：

PIERS 2007 BEIJING: PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM, PTS I AND II, PROCEEDINGS | 2007年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, the matrix pencil (MP) method has been utilized for estimating the complex natural resonances from IFFT of calculated frequency responses. The novelty is that frequency sampling interval is investigated. The responses are usually computed by the accurate method of moments (MoM) in frequency domain, which is time-consuming. So, the frequency sampling interval's effect on results should be analyzed, and a scheme for adaptive choice of frequency sampling interval is proposed in this paper. The scheme is validated by a special example, a perfect conducting sphere. Lastly, poles of a complex radar target, a missile model, are calculated by the proposed method and compared with other available data.

引用

页码：156 / +

页数：3

共 50 条

[21] Detecting structural information of scatterers using spatial frequency domain imaging [J].

Bodenschatz, Nico ;

Krauter, Philipp ;

Nothelfer, Steffen ;

Foschum, Florian ;

Bergmann, Florian ;

Liemert, Andre ;

Kienle, Alwin .

JOURNAL OF BIOMEDICAL OPTICS, 2015, 20 (11)

[22] POINT SCATTERERS TARGET IDENTIFICATION USING FREQUENCY DOMAIN SIGNAL PROCESSING [J].

Konovaluk, Maxim ;

Kuznetsov, Yury ;

Baev, Andrey .

2008 PROCEEDINGS INTERNATIONAL RADAR SYMPOSIUM, 2008, :140-143

[23] POINT SCATTERERS TARGET IDENTIFICATION USING FREQUENCY DOMAIN SIGNAL PROCESSING [J].

Konovaluk, Maxim ;

Kuznetsov, Yury ;

Baev, Andrey .

2008 MIKON CONFERENCE PROCEEDINGS, VOLS 1 AND 2, 2008, :93-96

[24] Selection of sampling interval for least squares Prony method [J].

Lee, JH ;

Kim, HT .

ELECTRONICS LETTERS, 2005, 41 (01) :47-49

[25] Resonance poles in the complex-frequency domain for an oscillating barrier [J].

Lefebvre, R ;

Moiseyev, N .

PHYSICAL REVIEW A, 2004, 69 (06) :062105-1

[26] A Bayesian Approach to Adaptive Frequency Sampling [J].

De Ridder, Simon ;

Deschrijver, Dirk ;

Spina, Domenico ;

Dhaene, Tom ;

Vande Ginste, Dries .

2019 23RD IEEE WORKSHOP ON SIGNAL AND POWER INTEGRITY (SPI 2019), 2019,

[27] A frequency domain adaptive algorithm for estimating impulse response with flat delay and dispersive response region [J].

Yamada, Y ;

Kiya, H ;

Kambayashi, N .

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 1999, E82A (08) :1558-1565

[28] Accurate velocity evaluation using adaptive sampling interval [J].

Lygouras, JN .

MICROPROCESSORS AND MICROSYSTEMS, 2000, 24 (05) :269-275

[29] AN ADAPTIVE SAMPLING-INTERVAL GENERATOR FOR DIGITAL RELAYING [J].

BENMOUYAL, G .

IEEE TRANSACTIONS ON POWER DELIVERY, 1989, 4 (03) :1602-1609

[30] A novel boundary elemental analysis based frequency domain adaptive sampling technique for aerospace application [J].

Umamaheswaran, R. ;

Ramalingam, Parameshwaran ;

Raj, Marshal ;

Gopalakrishnan, Lakshminarayanan ;

Thiruppathirajan, S. .

MICROPROCESSORS AND MICROSYSTEMS, 2021, 83

← 1 2 3 4 5 →