Regularization for capon and APES
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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.
Original language | English |
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Title of host publication | RadarCon'11 - In the Eye of the Storm : 2011 IEEE Radar Conference |
Number of pages | 5 |
Publication date | 2011 |
Pages | 195-199 |
Article number | 5960527 |
ISBN (Print) | 9781424489022 |
DOIs | |
Publication status | Published - 2011 |
Externally published | Yes |
Event | 2011 IEEE Radar Conference: In the Eye of the Storm, RadarCon'11 - Kansas City, MO, United States Duration: 23 May 2011 → 27 May 2011 |
Conference
Conference | 2011 IEEE Radar Conference: In the Eye of the Storm, RadarCon'11 |
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Land | United States |
By | Kansas City, MO |
Periode | 23/05/2011 → 27/05/2011 |
Series | IEEE National Radar Conference - Proceedings |
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ISSN | 1097-5659 |
- APES, Capon, linear inverse problem, Nonparametric method, regularization
Research areas
ID: 362748209