TY - GEN
T1 - Detection with target-incurring orthogonal subspace interference
AU - Wang, Pu
AU - Fang, Jun
AU - Li, Hongbin
PY - 2012
Y1 - 2012
N2 - In this paper, we consider the detection of a deterministic signal with an unknown scaling amplitude in the presence of a colored noise, when there is a covariance mismatch between the null and alternative hypotheses. Specifically, we consider a scenario where the target incurs an additional subspace interference that is orthogonal to the target steering vector and only present under the alternative hypothesis. To address this problem, we apply the generalized likelihood ratio test (GLRT) principle which results in a detector involving the following steps: the observation is first projected into the interference subspace. Then, the energy of the projected signal (residue) is computed. If the residual energy is small, the GLRT reduces to the standard matched filter (MF) which ignores the subspace interference; otherwise, a modified test statistic is employed for additional interference cancellation. Simulation results are presented to demonstrate the effectiveness of the proposed detector.
AB - In this paper, we consider the detection of a deterministic signal with an unknown scaling amplitude in the presence of a colored noise, when there is a covariance mismatch between the null and alternative hypotheses. Specifically, we consider a scenario where the target incurs an additional subspace interference that is orthogonal to the target steering vector and only present under the alternative hypothesis. To address this problem, we apply the generalized likelihood ratio test (GLRT) principle which results in a detector involving the following steps: the observation is first projected into the interference subspace. Then, the energy of the projected signal (residue) is computed. If the residual energy is small, the GLRT reduces to the standard matched filter (MF) which ignores the subspace interference; otherwise, a modified test statistic is employed for additional interference cancellation. Simulation results are presented to demonstrate the effectiveness of the proposed detector.
KW - Hypothesis test
KW - adaptive detection
KW - generalized likelihood ratio test
KW - subspace interference
UR - http://www.scopus.com/inward/record.url?scp=84867197835&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867197835&partnerID=8YFLogxK
U2 - 10.1109/SAM.2012.6250523
DO - 10.1109/SAM.2012.6250523
M3 - Conference contribution
AN - SCOPUS:84867197835
SN - 9781467310710
T3 - Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
SP - 405
EP - 408
BT - 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012
T2 - 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012
Y2 - 17 June 2012 through 20 June 2012
ER -