Title :
GLRT detection with unknown noise power in passive multistatic radar
Author :
Jun Liu ; Hongbin Li ; Himed, Braham
Author_Institution :
Stevens Inst. of Technol., Hoboken, NJ, USA
Abstract :
This paper considers the problem of passive detection with a multistatic radar system involving a non-cooperative illuminator of opportunity (IO) and multiple receive platforms. An unknown source signal is transmitted by the IO, which illuminates a target of interest. These receive platforms are geographically dispersed, and collect independent target echoes due to the illumination by the same IO. We propose a generalized likelihood ratio test (GLRT) detector to deal with the passive detection problem in the case of unknown noise power. Moreover, a closed-form expression for the probability of false alarm of this GLRT detector is given. Numerical simulations demonstrate that the proposed GLRT detector generally outperforms its natural counterparts.
Keywords :
object detection; passive radar; probability; radar detection; statistical testing; GLRT detection; closed-form expression; false alarm probability; generalized likelihood ratio test detection; multiple receive platforms; noncooperative illuminator-of-opportunity; passive detection problem; passive multistatic radar system; target detection; unknown noise power; unknown source signal; Detectors; Eigenvalues and eigenfunctions; Noise; Passive radar; Receivers; Sonar navigation; Passive radar; multistatic radar; target detection;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
DOI :
10.1109/ICASSP.2015.7179037