Low training volume adaptive processing in HF skywave radar
Date
2008
Authors
Johnson, B.
Abramovich, Y.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Proceedings of the 2008 International Conference on Radar, 2-5 September, 2008: pp.618-621
Statement of Responsibility
Ben A. Johnson, Yuri I. Abramovich
Conference Name
International Conference on Radar (2008 : Adelaide, Australia)
Abstract
Adaptive processing in the HF radar environment suffers from the paucity of appropriate training data relative to the dimension of the required spatial filters. We review the applicability of a number of reduced-rank/reduced-order adaptive filtering methods to HF radar and point out the need for several key developments. These developments including properly normalized likelihood ratio for under-sampled scenarios, parametric order estimation based on minimization of both deterministic and stochastic losses, and application of time-varying autoregressive (TVAR) parametric models to the spatially and temporally varying HF radar case.