Regularization for capon and APES

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Standard

Regularization for capon and APES. / Yang, Jun; Hao, Chengpeng; Ma, Xiaochuan; Hou, Chaohuan.

RadarCon'11 - In the Eye of the Storm: 2011 IEEE Radar Conference. 2011. p. 195-199 5960527 (IEEE National Radar Conference - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Harvard

Yang, J, Hao, C, Ma, X & Hou, C 2011, Regularization for capon and APES. in RadarCon'11 - In the Eye of the Storm: 2011 IEEE Radar Conference., 5960527, IEEE National Radar Conference - Proceedings, pp. 195-199, 2011 IEEE Radar Conference: In the Eye of the Storm, RadarCon'11, Kansas City, MO, United States, 23/05/2011. https://doi.org/10.1109/RADAR.2011.5960527

APA

Yang, J., Hao, C., Ma, X., & Hou, C. (2011). Regularization for capon and APES. In RadarCon'11 - In the Eye of the Storm: 2011 IEEE Radar Conference (pp. 195-199). [5960527] IEEE National Radar Conference - Proceedings https://doi.org/10.1109/RADAR.2011.5960527

Vancouver

Yang J, Hao C, Ma X, Hou C. Regularization for capon and APES. In RadarCon'11 - In the Eye of the Storm: 2011 IEEE Radar Conference. 2011. p. 195-199. 5960527. (IEEE National Radar Conference - Proceedings). https://doi.org/10.1109/RADAR.2011.5960527

Author

Yang, Jun ; Hao, Chengpeng ; Ma, Xiaochuan ; Hou, Chaohuan. / Regularization for capon and APES. RadarCon'11 - In the Eye of the Storm: 2011 IEEE Radar Conference. 2011. pp. 195-199 (IEEE National Radar Conference - Proceedings).

Bibtex

@inproceedings{d0d1d9f0fe444b64aa0886765e22b6d2,

title = "Regularization for capon and APES",

abstract = "In this paper, we formulate non-parametric spectral estimators as solutions of some linear inverse problems, and propose new methods for spectral estimation using regularization. The general form of quadratic regularization is discussed. Moreover, two new spectral estimators are proposed using oracle SVD operator based on Capon and APES respectively. Simulations using either one-dimensional or two-dimensional data have shown that our methods usually give more accurate spectral estimates but a little lower resolution than the methods they based on. The proposed 2-D spectral estimation methods are very suitable for SAR imaging especially in cases that the number of data sfamples is low.",

keywords = "APES, Capon, linear inverse problem, Nonparametric method, regularization",

author = "Jun Yang and Chengpeng Hao and Xiaochuan Ma and Chaohuan Hou",

year = "2011",

doi = "10.1109/RADAR.2011.5960527",

language = "English",

isbn = "9781424489022",

series = "IEEE National Radar Conference - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "195--199",

booktitle = "RadarCon'11 - In the Eye of the Storm",

note = "2011 IEEE Radar Conference: In the Eye of the Storm, RadarCon'11 ; Conference date: 23-05-2011 Through 27-05-2011",

}

RIS

TY - GEN

T1 - Regularization for capon and APES

AU - Yang, Jun

AU - Hao, Chengpeng

AU - Ma, Xiaochuan

AU - Hou, Chaohuan

PY - 2011

Y1 - 2011

N2 - In this paper, we formulate non-parametric spectral estimators as solutions of some linear inverse problems, and propose new methods for spectral estimation using regularization. The general form of quadratic regularization is discussed. Moreover, two new spectral estimators are proposed using oracle SVD operator based on Capon and APES respectively. Simulations using either one-dimensional or two-dimensional data have shown that our methods usually give more accurate spectral estimates but a little lower resolution than the methods they based on. The proposed 2-D spectral estimation methods are very suitable for SAR imaging especially in cases that the number of data sfamples is low.

AB - In this paper, we formulate non-parametric spectral estimators as solutions of some linear inverse problems, and propose new methods for spectral estimation using regularization. The general form of quadratic regularization is discussed. Moreover, two new spectral estimators are proposed using oracle SVD operator based on Capon and APES respectively. Simulations using either one-dimensional or two-dimensional data have shown that our methods usually give more accurate spectral estimates but a little lower resolution than the methods they based on. The proposed 2-D spectral estimation methods are very suitable for SAR imaging especially in cases that the number of data sfamples is low.

KW - APES

KW - Capon

KW - linear inverse problem

KW - Nonparametric method

KW - regularization

UR - http://www.scopus.com/inward/record.url?scp=80052466303&partnerID=8YFLogxK

U2 - 10.1109/RADAR.2011.5960527

DO - 10.1109/RADAR.2011.5960527

M3 - Article in proceedings

AN - SCOPUS:80052466303

SN - 9781424489022

T3 - IEEE National Radar Conference - Proceedings

SP - 195

EP - 199

BT - RadarCon'11 - In the Eye of the Storm

T2 - 2011 IEEE Radar Conference: In the Eye of the Storm, RadarCon'11

Y2 - 23 May 2011 through 27 May 2011

ER -

ID: 362748209