TY - GEN
T1 - A persymmetric detector with enhanced selectivity properties
AU - Hao, Chengpeng
AU - Hou, Chaohuan
AU - Ma, Xiaochuan
AU - Yan, Shefeng
AU - Orlando, Danilo
PY - 2013
Y1 - 2013
N2 - In this paper, we deal with the problem of adaptive detection of point-like targets in Gaussian disturbance with unknown but persymmetric structured covariance matrix induced by a symmetric antenna geometry. In particular, at the design stage we modify the noise-only hypothesis assuming the presence of a fictitious signal orthogonal to the nominal one. The performance assessment, conducted by Monte Carlo simulation, has shown that the proposed receiver can significantly outperform its unstructured counterpart and guarantee enhanced rejection performance of unwanted signals.
AB - In this paper, we deal with the problem of adaptive detection of point-like targets in Gaussian disturbance with unknown but persymmetric structured covariance matrix induced by a symmetric antenna geometry. In particular, at the design stage we modify the noise-only hypothesis assuming the presence of a fictitious signal orthogonal to the nominal one. The performance assessment, conducted by Monte Carlo simulation, has shown that the proposed receiver can significantly outperform its unstructured counterpart and guarantee enhanced rejection performance of unwanted signals.
KW - Adaptive detection
KW - Generalized likelihood ratio test (GLRT)
KW - Persymmetry
UR - http://www.scopus.com/inward/record.url?scp=84888858554&partnerID=8YFLogxK
U2 - 10.1109/ICDSP.2013.6622785
DO - 10.1109/ICDSP.2013.6622785
M3 - Conference contribution
AN - SCOPUS:84888858554
SN - 9781467358057
T3 - 2013 18th International Conference on Digital Signal Processing, DSP 2013
BT - 2013 18th International Conference on Digital Signal Processing, DSP 2013
T2 - 2013 18th International Conference on Digital Signal Processing, DSP 2013
Y2 - 1 July 2013 through 3 July 2013
ER -