Adaptive filtering for moving-target-detection in severely inhomogeneous clutter

An adaptive multiband detector that is based on the principle of the generalized-likelihood-ratio test (GLR) is presented. Its detection performance is studied and compared with that of the corresponding single-band GLR detector. The adaptive multiband detector is shown to be able to outperform the single-band significantly under the equal-energy constraint, especially in severely nonstationary and/or inhomogeneous environments.<<ETX>>

[1]  Calyampudi R. Rao,et al.  Test for a specified signal when the noise convariance matrix is unknown , 1987 .

[2]  Hong Wang,et al.  On performance improvement of tone frequency estimation , 1988, IEEE Trans. Acoust. Speech Signal Process..

[3]  E. J. Kelly.  An Adaptive Detection Algorithm , 1986, IEEE Transactions on Aerospace and Electronic Systems.

[4]  I. Reed,et al.  Rapid Convergence Rate in Adaptive Arrays , 1974, IEEE Transactions on Aerospace and Electronic Systems.

[5]  Ramon Nitzberg,et al.  Losses for Frequency Diversity Waveform Systems , 1978, IEEE Transactions on Aerospace and Electronic Systems.

[6]  Randy L. Haupt,et al.  Introduction to Adaptive Arrays , 1980 .

[7]  H. Wang,et al.  On adaptive multiband signal detection with the SMI algorithm , 1990 .

[8]  V. Vannicola,et al.  Detection of Slow Fluctuating Targets with Frequency Diversity Channels , 1974, IEEE Transactions on Aerospace and Electronic Systems.