Title :
Detection With Target-Induced Subspace Interference
Author :
Wang, Pu ; Fang, Jun ; Li, Hongbin ; Himed, Braham
Author_Institution :
Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA
fDate :
7/1/2012 12:00:00 AM
Abstract :
In this letter, we consider the detection of a multichannel signal with an unknown amplitude in colored noise, when there is a covariance mismatch between the null and alternative hypotheses. Specifically, the covariance mismatch is caused by a target-induced subspace interference that is present only under the alternative hypothesis. According to the signal model, we propose a detector involving the following steps. The observation is first projected to the orthogonal complement of the signal to be detected, followed by a second projection to the interference subspace. Then, the energy of the doubly projected signal (residual) is computed. If the residual energy is small, the proposed detector 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.
Keywords :
matched filters; signal denoising; signal detection; statistical testing; colored noise amplitude; covariance mismatch; doubly projected signal; interference cancellation; modified test statistic; multichannel signal detection; null hypotheses; residual energy; signal model; standard matched filter; target-induced subspace interference; Cost function; Covariance matrix; Detectors; Electronic mail; Interference; Noise; Thermal noise; Adaptive detection; hypothesis test; subspace interference;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2012.2197389