TY - GEN
T1 - Sparse modeling for polarimetric radar
AU - Hurtado, M.
AU - Von Ellenrieder, N.
AU - Muravchik, C.
AU - Nehorai, A.
PY - 2011
Y1 - 2011
N2 - In this paper, we develop a sparse model to represent the data recorded by a polarimetric, coherent radar. We produce this model defining an over-complete library of possible target responses in the range-polarization space. Then, we employ compressive sensing methods to infer the position and the scattering matrix of the target. Using real radar data, we show that this new approach offers better interference rejection over other methods.
AB - In this paper, we develop a sparse model to represent the data recorded by a polarimetric, coherent radar. We produce this model defining an over-complete library of possible target responses in the range-polarization space. Then, we employ compressive sensing methods to infer the position and the scattering matrix of the target. Using real radar data, we show that this new approach offers better interference rejection over other methods.
UR - http://www.scopus.com/inward/record.url?scp=80052246219&partnerID=8YFLogxK
U2 - 10.1109/SSP.2011.5967652
DO - 10.1109/SSP.2011.5967652
M3 - Conference contribution
AN - SCOPUS:80052246219
SN - 9781457705700
T3 - IEEE Workshop on Statistical Signal Processing Proceedings
SP - 17
EP - 20
BT - 2011 IEEE Statistical Signal Processing Workshop, SSP 2011
T2 - 2011 IEEE Statistical Signal Processing Workshop, SSP 2011
Y2 - 28 June 2011 through 30 June 2011
ER -